├── figs └── awesome.png └── README.md /figs/awesome.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/visionxiang/awesome-camouflaged-object-detection/HEAD/figs/awesome.png -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | 2 |

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Awesome Camouflage Vision

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A curated collection of papers and resources for the field of camouflaged vision

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COD | COS | CSU | ……

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8 | 9 | 10 | 11 | > This repository aims to provide the most comprehensive and cutting-edge map of papers and technologies in the field of **camouflage vision**, including 12 | > - Camouflaged/Concealed Object Detection (COD) 13 | > - Camouflaged/Concealed Object Segmentation (COS) 14 | > - Camouflaged/Concealed Scene Understanding (CSU) 15 | > - etc. 16 | > 17 | > 🔄 We commit to regular updates for ongoing resource improvements. 18 | 19 | 20 |

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:loudspeaker: Icon Legend

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Dataset

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:loudspeaker: Latest Updates: 2025.10

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38 | 39 | - [10/2025] Update with nine ICCV2025 papers. 40 | - [10/2025] Update with NeurIPS2025 and latest papers. 41 | - [09/2025] Update with ACMMM2025 and latest papers. 42 | - [06/2025] Update with CVPR2025, AAAI2025 papers. 43 | - [08/2024] Update with ECCV2024, MM2024 papers. 44 | - [04/2024] Update with CVPR2024 papers. 45 | - [01/2024] Update with ICLR2024, WACV2024 papers. 46 | - [12/2023] Update with NeurIPS2023, AAAI2024 papers. 47 | - [08/2023] Update with ICCV2023, MM2023, etc. papers for COD and CIS. 48 | - [04/2023] Update with CVPR2023 papers for COD and CIS. 49 |

50 | 51 | 52 | -------------------------------------------------------------------------------------- 53 | 54 | 55 | 56 | ## 📋 Table of Contents 57 | - [Preprint](#preprint) 58 | - [Survey Papers](#survey-papers) 59 | - Focal Topics 60 | - [Universal Segmentation](#Universal-Segmentation) 61 | - [Camouflaged Object Detection (COD)](#COD) 62 | - [Video Camouflaged Object Detection (VCOD)](#VCOD) 63 | - [Camouflaged Instance Segmentation (CIS)](#CIS) 64 | - [Weakly-supervised COD](#WSCOD) 65 | - [Semi-supervised COD](#Semi-supervised-COD) 66 | - [Unsupervised COD](#Unsupervised-COD) 67 | - [Zero-Shot COD](#Zero-Shot-COD) 68 | - [Referring COD](#RefCOD) 69 | - [Open-Vocabulary COS](#OVCOS) 70 | - [VLM in COS](#VLMCOS) 71 | - [RGB-P COD](#RGBP-COD) 72 | - [MMW COD](#MMW-COD) 73 | - [Camouflage Generation](#Camouflage-Generation) 74 | - [Camouflaged Object Tracking (COT)](#COT) 75 | - [(Multi/Hyper-)Spectral COD](#Multi-Spectral-COD) 76 | - [Other Related Tasks](#Other-Related) 77 | - [Datasets](#Datasets) 78 | - [Reference](#reference) 79 | 80 | -------------------------------------------------------------------------------------- 81 | 82 | 83 | ## 🔥 Recent Featured Papers 84 | 85 | 86 | - **Towards Real Zero-Shot Camouflaged Object Segmentation without Camouflaged Annotations** `CaMF`
87 | Cheng Lei, Jie Fan, Xinran Li, Tian-Zhu Xiang, Ao Li, Ce Zhu, Le Zhang
88 | *TPAMI*, 2025 89 | _{[![Static Badge](https://img.shields.io/badge/Paper-white?logoSize=auto)](https://arxiv.org/abs/2410.16953)} 90 | _{[![Static Badge](https://img.shields.io/badge/Code-white?logoSize=auto)](https://github.com/R-LEI360725/ZSCOS-CaMF)} 91 | 92 | - **Referring Camouflaged Object Detection** `R2CNet` _{![Static Badge](https://img.shields.io/badge/R2C7K-grey)}
93 | Xuying Zhang, Bowen Yin, Zheng Lin, Qibin Hou, Deng-Ping Fan, Ming-Ming Cheng
94 | *TPAMI*, 2025 95 | _{[![Static Badge](https://img.shields.io/badge/Paper-white?logoSize=auto)](https://arxiv.org/abs/2306.07532)} 96 | _{[![Static Badge](https://img.shields.io/badge/Code-white?logoSize=auto)](https://github.com/zhangxuying1004/RefCOD)} 97 | 98 | - **ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection** `ZoomNeXt`
99 | Youwei Pang, Xiaoqi Zhao, Tian-Zhu Xiang, Lihe Zhang, Huchuan Lu
100 | *TPAMI*, 2024 101 | _{[![Static Badge](https://img.shields.io/badge/Paper-white?logoSize=auto)](https://arxiv.org/abs/2310.20208)} 102 | _{[![Static Badge](https://img.shields.io/badge/Code-white?logoSize=auto)](https://github.com/lartpang/ZoomNeXt)} 103 | 104 | - **Uncertainty-Aware Transformer for Referring Camouflaged Object Detection** `UAT`
105 | Ranwan Wu, Tian-Zhu Xiang, Guo-Sen Xie, Rongrong Gao, Xiangbo Shu, Fang Zhao, Ling Shao
106 | *TIP*, 2025 107 | _{[![Static Badge](https://img.shields.io/badge/Paper-white?logoSize=auto)](https://ieeexplore.ieee.org/abstract/document/11080234)} 108 | _{[![Static Badge](https://img.shields.io/badge/Code-white?logoSize=auto)](https://github.com/CVL-hub/UAT)} 109 | 110 | - **Hierarchical Graph Interaction Transformer with Dynamic Token Clustering for Camouflaged Object Detection** `HGINet`
111 | Siyuan Yao, Hao Sun, Tian-Zhu Xiang, Xiao Wang, Xiaochun Cao
112 | *TIP*, 2024 113 | _{[![Static Badge](https://img.shields.io/badge/Paper-white?logoSize=auto)](https://arxiv.org/abs/2408.15020)} 114 | _{[![Static Badge](https://img.shields.io/badge/Code-white?logoSize=auto)](https://github.com/Garyson1204/HGINet)} 115 | 116 | - **CamSAM2: Segment Anything Accurately in Camouflaged Videos** `CamSAM2`
117 | Yuli Zhou, Guolei Sun, Yawei Li, Yuqian Fu, Luca Benini, Ender Konukoglu
118 | *NeurIPS*, 2025 119 | _{[![Static Badge](https://img.shields.io/badge/Paper-white?logoSize=auto)](https://arxiv.org/abs/2503.19730)} 120 | _{[![Static Badge](https://img.shields.io/badge/Code-white?logoSize=auto)](https://github.com/zhoustan/CamSAM2)} 121 | 122 | - **MMCSBench: A Fine-Grained Benchmark for Large Vision-Language Models in Camouflage Scenes**
123 | Jin Zhang, Ruiheng Zhang, Zhe Cao, Kaizheng Chen
124 | *NeurIPS*, 2025 125 | _{[![Static Badge](https://img.shields.io/badge/Paper-white?logoSize=auto)](https://neurips.cc/virtual/2025/poster/121542)} 126 | 127 | - **Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes** `USCNet` _{![Static Badge](https://img.shields.io/badge/USC12K-grey)}
128 | Zhangjun Zhou, Yiping Li, Chunlin Zhong, Jianuo Huang, Jialun Pei, Hua Li, He Tang
129 | *ICCV*, 2025 130 | _{[![Static Badge](https://img.shields.io/badge/Paper-white?logoSize=auto)](https://arxiv.org/abs/2412.10943)} 131 | _{[![Static Badge](https://img.shields.io/badge/Code-white?logoSize=auto)](https://github.com/ssecv/USCNet)} 132 | 133 | 134 | 135 | -------------------------------------------------------------------------------------- 136 | 137 | 138 |

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📄 Preprint

140 | 141 | | **Pub.** | **Model** | **Title** | **Links** | 142 | | :------: | :------: | :----------------------------------------------------------- | :----------------------------------------------------------- | 143 | | arXiv | ^{`DualGazeNet`} | DualGazeNet: A Biologically Inspired Dual-Gaze Query Network for Salient Object Detection `SOD/COD`
^{_{*Yu Zhang, Haoan Ping, Yuchen Li, Zhenshan Bing, Fuchun Sun, Alois Knoll*}} | [Paper](https://arxiv.org/abs/2511.18865)\|[Code](https://github.com/jeremypha/DualGazeNet) | 144 | | arXiv | ^`KRNet` | Knowledge Rectification for Camouflaged Object Detection: Unlocking Insights from Low-Quality Data
^{_{*Juwei Guan, Xiaolin Fang, Donghyun Kim, Haotian Gong, Tongxin Zhu, Zhen Ling, Ming Yang*}} | [Paper](https://arxiv.org/abs/2503.22180)\|Code 145 | | arXiv | ^`CamoSAM2` | CamoSAM2: Motion-Appearance Induced Auto-Refining Prompts for Video Camouflaged Object Detection
^{_{*Xin Zhang, Keren Fu, Qijun Zhao*}} | [Paper](https://arxiv.org/abs/2504.00375)\|Code 146 | | arXiv | ^`CAFR` | Toward Realistic Camouflaged Object Detection: Benchmarks and Method `BBox`
^{_{*Zhimeng Xin, Tianxu Wu, Shiming Chen, Shuo Ye, Zijing Xie, Yixiong Zou, Xinge You, Yufei Guo*}} | [Paper](https://arxiv.org/abs/2501.07297)\|[Code](https://github.com/zhimengXin/RCOD) 147 | | arXiv | ^`HPGT` | A Holistically Point-guided Text Framework for Weakly-Supervised Camouflaged Object Detection
^{_{*Tsui Qin Mok, Shuyong Gao, Haozhe Xing, Miaoyang He, Yan Wang, Wenqiang Zhang*}} | [Paper](https://arxiv.org/abs/2501.06038)\|Code 148 | | arXiv | ^`AGLNet` | Adaptive Guidance Learning for Camouflaged Object Detection
^{_{*Zhennan Chen, Xuying Zhang, Tian-Zhu Xiang, Ying Tai*}} | [Paper](https://arxiv.org/abs/2405.02824)\|[Code](https://github.com/ZNan-Chen/AGLNet) 149 | | arXiv | ^`-` | Leveraging Open-Vocabulary Diffusion to Camouflaged Instance Segmentation
^{_{*Tuan-Anh Vu, Duc Thanh Nguyen, Qing Guo, Binh-Son Hua, Nhat Minh Chung, Ivor W. Tsang, Sai-Kit Yeung*}} | [Paper](https://arxiv.org/abs/2312.17505)\|Code 150 | | arXiv | ^`PAD` | Pre-train, Adapt and Detect: Multi-Task Adapter Tuning for Camouflaged Object Detection
^{_{*Yinghui Xing, Dexuan Kong, Shizhou Zhang, Geng Chen, Lingyan Ran, Peng Wang, Yanning Zhang*}} | [Paper](https://arxiv.org/abs/2307.10685)\|Code 151 | | arXiv | ^`UJSCODv2` | Joint Salient Object Detection and Camouflaged Object Detection via Uncertainty-aware Learning
^{_{*Aixuan Li, Jing Zhang, Yunqiu Lv, Tong Zhang, Yiran Zhong, Mingyi He, Yuchao Dai*}} | [Paper](https://arxiv.org/abs/2307.04651)\|[Code](https://npucvr.github.io/UJSCOD/) 152 | | arXiv | ^`DQnet` | DQnet: Cross-Model Detail Querying for Camouflaged Object Detection
^{_{*Wei Sun, Chengao Liu, Linyan Zhang, Yu Li, Pengxu Wei, Chang Liu, Jialing Zou, Jianbin Jiao, Qixiang Ye*}} | [Paper](https://arxiv.org/abs/2212.08296)\|[Code](https://github.com/CVPR23/DQnet) 153 | | arXiv | ^`-` | Exploring Depth Contribution for Camouflaged Object Detection
^{_{*Mochu Xiang, Jing Zhang, Yunqiu Lv, et al.*}} | [Paper](https://arxiv.org/abs/2106.13217v3)\|Code 154 | | arXiv | ^`MCIFNet` | Towards Accurate Camouflaged Object Detection with Mixture Convolution and Interactive Fusion
^{_{*Bo Dong, Mingchen Zhuge, Yongxiong Wang, Hongbo Bi, Geng Chen*}} | [Paper](https://arxiv.org/pdf/2101.05687.pdf)\|[Code](https://github.com/BigHeartDB/MCIFNet) 155 | | arXiv | ^`BASNet` | Boundary-Aware Segmentation Network for Mobile and Web Applications
^{_{*Xuebin Qin, Deng-Ping Fan, Chenyang Huang, et al.*}} | [Paper](https://arxiv.org/pdf/2101.04704.pdf)\|[Code](https://github.com/xuebinqin/BASNet) 156 | 157 |

158 | 159 | 160 | -------------------------------------------------------------------------------------- 161 | 162 | 163 |

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📚 Survey Papers

165 | 166 | | **Year** | **Pub.** | **Title** | **Links** | 167 | | :------: | :------: | :----------------------------------------------------------- | :----------------------------------------------------------- | 168 | | 2024 | AIR | A Survey of Camouflaged Object Detection and Beyond
^{_{*Fengyang Xiao, Sujie Hu, Yuqi Shen, Chengyu Fang, Jinfa Huang, Chunming He, Longxiang Tang, Ziyun Yang, Xiu Li*}} | [Paper](https://arxiv.org/abs/2408.14562v1)\|[Res](https://github.com/ChunmingHe/awesome-concealed-object-segmentation) 169 | | 2024 | Neucom | A systematic review of image-level camouflaged object detection with deep learning
^{_{*Yanhua Liang, Guihe Qin, Minghui Sun, Xinchao Wang, Jie Yan, Zhonghan Zhang*}} | [Paper](https://www.sciencedirect.com/science/article/abs/pii/S0925231223011736)\|[Res.](https://github.com/Liangyh18/COD_survey) 170 | | 2024 | MulSys | A survey on deep learning-based camouflaged object detection
^{_{*Junmin Zhong, Anzhi Wang, Chunhong Ren & Jintao Wu*}} | [Paper](https://link.springer.com/article/10.1007/s00530-024-01478-7)\| 171 | | 2023 | VI | Advances in Deep Concealed Scene Understanding _{![Static Badge](https://img.shields.io/badge/CDS2K-grey)}
^{_{*Deng-Ping Fan, Ge-Peng Ji, Peng Xu, Ming-Ming Cheng, Christos Sakaridis, Luc Van Gool*}} | [Paper](https://link.springer.com/article/10.1007/s44267-023-00019-6#article-info)\|[Proj](https://github.com/DengPingFan/CSU) 172 | | 2021 | TCSVT | Rethinking Camouflaged Object Detection: Models and Datasets
^{_{*Hongbo Bi, Cong Zhang, Kang Wang, Jinghui Tong, Feng Zheng*}} | [Paper](https://ieeexplore.ieee.org/document/9598866)\| 173 | 174 |

175 | 176 | 177 | -------------------------------------------------------------------------------------- 178 | 179 |

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🎯 Universal Segmentation

181 | 182 | | **Year** | **Pub.** | **Title** | **Links** | 183 | | :------: | :------: | :----------------------------------------------------------- | :----------------------------------------------------------- | 184 | | TPAMI
²⁰²⁵ | ^`EVP` | Explicit Visual Prompting for Universal Foreground Segmentations
^{_{*Weihuang Liu, Xi Shen, Chi-Man Pun, Xiaodong Cun*}} | [Paper](https://ieeexplore.ieee.org/abstract/document/11197268)\|[Code](https://github.com/NiFangBaAGe/Explicit-Visual-Prompt) | 185 | | TCSVT
²⁰²⁵ | ^`DAD` | Towards Complex Backgrounds: A Unified Difference-Aware Decoder for Binary Segmentation
^{_{*Jiepan Li; Wei He; Fangxiao Lu; Hongyan Zhang*}} | [Paper](https://ieeexplore.ieee.org/document/11175179)\|[Code](https://github.com/Henryjiepanli/DAD) 186 | | AAAI
²⁰²⁵ | ^`FOCUS` | FOCUS: Towards Universal Foreground Segmentation
^{_{*Zuyao You, Lingyu Kong, Lingchen Meng, Zuxuan Wu*}} | [Paper](https://arxiv.org/abs/2501.05238)\|[Code](https://geshang777.github.io/focus.github.io/) 187 | | ICML
²⁰²⁴ | ^`Spider` | Spider: A Unified Framework for Context-dependent Concept Understanding
^{_{*Xiaoqi Zhao, Youwei Pang, Wei Ji, Baicheng Sheng, Jiaming Zuo, Lihe Zhang, Huchuan Lu*}} | [Paper](https://arxiv.org/abs/2405.01002)\|[Code](https://github.com/Xiaoqi-Zhao-DLUT/Spider-UniCDSeg) 188 | | IJCV
²⁰²⁴ | ^`GateNetv2` | Towards Diverse Binary Segmentation via A Simple yet General Gated Network
^{_{*Xiaoqi Zhao, Youwei Pang, Lihe Zhang, Huchuan Lu, Lei Zhang*}} | [Paper](https://arxiv.org/abs/2303.10396)\|[Code](https://github.com/Xiaoqi-Zhao-DLUT/GateNet-RGB-Saliency)\|
[Res.](https://github.com/Xiaoqi-Zhao-DLUT/Awesome-Unified-Context-dependent-Concept-Segmentation) 189 | 190 |

191 | 192 | 193 | -------------------------------------------------------------------------------------- 194 | 195 |

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🎯 Camouflaged Object Detection (COD)

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2025

200 | 201 | | **Pub.** | **Model** | **Title** | **Links** | 202 | | :------: | :------: | :----------------------------------------------------------- | :----------------------------------------------------------- | 203 | | ICCV
²⁰²⁵ | ^{`Controllable-LPMoE`} | Controllable-LPMoE: Adapting to Challenging Object Segmentation via Dynamic Local Priors from Mixture-of-Experts
^{_{*Yanguang Sun, Jiawei Lian, Jian Yang, Lei Luo*}} | [Paper](https://arxiv.org/abs/2510.21114)\|[Code](https://github.com/CSYSI/Controllable-LPMoE) | 204 | | ICCV
²⁰²⁵ | ^`VL-SAM` | Multi-modal Segment Anything Model for Camouflaged Scene Segmentation
^{_{*Guangyu Ren, Hengyan Liu, Michalis Lazarou, Tania Stathaki*}} | [Paper](https://openaccess.thecvf.com/content/ICCV2025/html/Ren_Multi-modal_Segment_Anything_Model_for_Camouflaged_Scene_Segmentation_ICCV_2025_paper.html)\|[Code](https://github.com/ic-qialanqian/Vision-Language-SAM) | 205 | | ICCV
²⁰²⁵ | ^`ARM` | Enhancing Prompt Generation with Adaptive Refinement for Camouflaged Object Detection
^{_{*Xuehan Chen, Guangyu Ren, Tianhong Dai, Tania Stathaki, Hengyan Liu*}} | [Paper](https://openaccess.thecvf.com/content/ICCV2025/html/Chen_Enhancing_Prompt_Generation_with_Adaptive_Refinement_for_Camouflaged_Object_Detection_ICCV_2025_paper.html)\|Code | 206 | | ICCV
²⁰²⁵ | ^`SAM-COD` | Improving SAM for Camouflaged Object Detection via Dual Stream Adapters `RGB-D COD`
^{_{*Jiaming Liu, Linghe Kong, Guihai Chen*}} | [Paper](https://openaccess.thecvf.com/content/ICCV2025/html/Liu_Improving_SAM_for_Camouflaged_Object_Detection_via_Dual_Stream_Adapters_ICCV_2025_paper.html)\|Code | 207 | | ICCV
²⁰²⁵ | ^`ESCNet` | ESCNet: Edge-Semantic Collaborative Network for Camouflaged Object Detection
^{_{*Sheng Ye, Xin Chen, Yan Zhang, Xianming Lin, Liujuan Cao*}} | [Paper](https://iccv.thecvf.com/virtual/2025/poster/1498)\|[Code](https://github.com/suy9/ESCNet) 208 | | ICCV
²⁰²⁵ | ^`USCNet` | Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes _{![Static Badge](https://img.shields.io/badge/USC12K-grey)}
^{_{*Zhangjun Zhou, Yiping Li, Chunlin Zhong, Jianuo Huang, Jialun Pei, Hua Li, He Tang*}} | [Paper](https://arxiv.org/abs/2412.10943)\|[Code](https://github.com/ssecv/USCNet) 209 | | ACMMM
²⁰²⁵ | ^`--` | From Language to Instance: Generative Visual Prompting for Zero-shot Camouflaged Object Detection
^{_{*Zihou Zhang, Hao Li, Zhengwei Yang, Zechao Hu, Liang Li, Zheng Wang*}} | [Paper](https://dl.acm.org/doi/10.1145/3746027.3755212)\|Code 210 | | ACMMM
²⁰²⁵ | ^`ST-SAM` | ST-SAM: SAM-Driven Self-Training Framework for Semi-Supervised Camouflaged Object Detection
^{_{*Xihang Hu, Fuming Sun, Jiazhe Liu, Feilong Xu, Xiaoli Zhang*}} | [Paper](https://arxiv.org/abs/2507.23307)\|[Code](https://github.com/hu-xh/ST-SAM) 211 | | ACMMM
²⁰²⁵ | ^`SAM-TTT` | SAM-TTT: Segment Anything Model via Reverse Parameter Configuration and Test-Time Training for Camouflaged Object Detection
^{_{*Zhenni Yu, LiZhao LiZhao, Guobao Xiao, Xiaoqin Zhang*}} | [Paper](https://www.arxiv.org/abs/2509.11884)\|[Code](https://github.com/guobaoxiao/SAM-TTT) 212 | | ACMMM
²⁰²⁵ | ^`--` | Focus on the Object: Gradient-based Feature Modulation for Camouflaged Object Segmentation
^{_{*Naisong Luo, Yuan Wang, Yuwen Pan, Rui Sun*}} | Paper\|Code 213 | | ACMMM
²⁰²⁵ | ^`CGCOD` | CGCOD: Class-Guided Camouflaged Object Detection
^{_{*Chenxi Zhang, Qing Zhang, Jiayun Wu, Youwei Pang*}} | [Paper](https://arxiv.org/abs/2412.18977)\|[Code](https://github.com/bbdjj/CGCOD) 214 | | ACMMM
²⁰²⁵ | ^`RDVP-MSD` | Stepwise Decomposition and Dual-stream Focus: A Novel Approach for Training-free Camouflaged Object Segmentation
^{_{*Chao Yin, Hao Li, Kequan Yang, Jide Li, Pinpin Zhu, Xiaoqiang Li*}} | [Paper](https://arxiv.org/abs/2506.06818)\|[Code](https://github.com/ycyinchao/RDVP-MSD) 215 | | ACMMM
²⁰²⁵ | ^`S2R-COD` | Synthetic-to-Real Camouflaged Object Detection
^{_{*Zhihao Luo, Luojun Lin, Zheng Lin*}} | [Paper](https://arxiv.org/abs/2507.18911)\|[Code](https://github.com/Muscape/S2R-COD) 216 | | IJCAI
²⁰²⁵ | ^`DPU-Former` | Dual-Perspective United Transformer for Object Segmentation in Optical Remote Sensing Images ^{_{``Tested on COD``}}
^{_{*Yanguang Sun, Jiexi Yan, Jianjun Qian, Chunyan Xu, Jian Yang, Lei Luo*}} | [Paper](https://www.ijcai.org/proceedings/2025/0213)\|[Code](https://github.com/CSYSI/DPU-Former) 217 | | ICML
²⁰²⁵ | ^`RUN` | RUN: Reversible Unfolding Network for Concealed Object Segmentation
^{_{*Chunming He, Rihan Zhang, Fengyang Xiao, Chengyu Fang, Longxiang Tang, Yulun Zhang, Linghe Kong, Deng-Ping Fan, Kai Li, Sina Farsiu*}} | [Paper](https://arxiv.org/abs/2501.18783)\|[Code](https://github.com/ChunmingHe/RUN) 218 | | AAAI
²⁰²⁵ | ^{`CamObj-Llava`} | MM-CamObj: A Comprehensive Multimodal Dataset for Camouflaged Object Scenarios _{![Static Badge](https://img.shields.io/badge/MM--CamObj-grey)}
^{_{*Jiacheng Ruan, Wenzhen Yuan, Zehao Lin, Ning Liao, Zhiyu Li, Feiyu Xiong, Ting Liu, Yuzhuo Fu*}} | [Paper](https://ojs.aaai.org/index.php/AAAI/article/view/32723)\|[Code](https://github.com/JCruan519/MM-CamObj) 219 | | ICME
²⁰²⁵ | ^`--` | Distraction Suppression and Feature Modulation Network for Camouflaged Object Detection
^{_{*Han Lyu; Meijun Sun; Haowei Ran; Yipu Liu; Xinyu Yan; Zheng Wang*}} | [Paper](https://ieeexplore.ieee.org/document/11209969)\|Code 220 | | WACV
²⁰²⁵ | ^`CamoFA` | CamoFA: A Learnable Fourier-Based Augmentation for Camouflage Segmentation
^{_{*Minh-Quan Le; Minh-Triet Tran; Trung-Nghia Le; Tam V. Nguyen; Thanh-Toan Do*}} | [Paper](https://arxiv.org/abs/2308.15660)\|Code 221 | | WACV
²⁰²⁵ | ^`HDPNet` | HDPNet: Hourglass Vision Transformer with Dual-Path Feature Pyramid for Camouflaged Object Detection
^{_{*Jinpeng He; Biyuan Liu; Huaixin Chen*}} | [Paper](https://www.computer.org/csdl/proceedings-article/wacv/2025/108300i645/25KmxC36lWw)\|[Code](https://github.com/LittleGrey-hjp/HDPNet) 222 | | -- | -- | -- | -- | 223 | | TPAMI
²⁰²⁵ | ^`CaMF` | Towards Real Zero-Shot Camouflaged Object Segmentation without Camouflaged Annotations
^{_{*Cheng Lei, Jie Fan, Xinran Li, Tian-Zhu Xiang, Ao Li, Ce Zhu, Le Zhang*}} | [Paper](https://arxiv.org/abs/2410.16953)\|[Code](https://github.com/R-LEI360725/ZSCOS-CaMF) 224 | | TPAMI
²⁰²⁵ | ^{`CamoDiffusion`} | Conditional Diffusion Models for Camouflaged and Salient Object Detection
^{_{*Ke Sun; Zhongxi Chen; Xianming Lin; Xiaoshuai Sun; Hong Liu; Rongrong Ji*}} ^{_{*AAAI2024 Extension*}} | [Paper](https://ieeexplore.ieee.org/abstract/document/10834569)\|[Code](https://github.com/Rapisurazurite/CamoDiffusion) 225 | | TIP
²⁰²⁵ | ^`CFRN` | Continuous Feature Representation for Camouflaged Object Detection
^{_{*Ze Song; Xudong Kang; Xiaohui Wei; Jinyang Liu; Zheng Lin; Shutao Li*}} | [Paper](https://ieeexplore.ieee.org/document/11153753)\|[Code](https://github.com/SongZeHNU/CFRN) 226 | | TIP
²⁰²⁵ | ^`SENet` | A Simple yet Effective Network based on Vision Transformer for Camouflaged Object and Salient Object Detection
^{_{*Chao Hao, Zitong Yu, Xin Liu, Jun Xu, Huanjing Yue, Jingyu Yang*}} | [Paper](https://arxiv.org/abs/2402.18922)\|[Code](https://github.com/linuxsino/SENet) 227 | | IJCV
²⁰²⁵ | ^`AdaptCOD` | Camouflaged Object Detection with Adaptive Partition and Background Retrieval
^{_{*Bowen Yin, Xuying Zhang, Li Liu, Ming-Ming Cheng, Yongxiang Liu & Qibin Hou*}} | [Paper](https://link.springer.com/article/10.1007/s11263-025-02406-6)\|[Code](https://github.com/HVision-NKU/AdaptCOD) 228 | | IJCV
²⁰²⁵ | ^`MCRNet` | Mamba Capsule Routing Towards Part-Whole Relational Camouflaged Object Detection
^{_{*Dingwen Zhang, Liangbo Cheng, Yi Liu, Xinggang Wang & Junwei Han*}} | [Paper](https://link.springer.com/article/10.1007/s11263-025-02530-3)\|[Code](https://github.com/Liangbo-Cheng/mamba_capsule) 229 | | PR
²⁰²⁵ | ^`TG-COD` | Text-guided camouflaged object detection
^{_{*Zefeng Chen, Yunqi Xue, Zhijiang Li, Philip Torr, Jindong Gu*}} | [Paper](https://www.sciencedirect.com/science/article/abs/pii/S0031320325007186)\|Code 230 | | PR
²⁰²⁵ | ^`COD-SAM` | COD-SAM: Camouflage object detection using SAM
^{_{*Dongyang Gao, Yichao Zhou, Hui Yan, Chen Chen, Xiyuan Hu*}} | [Paper](https://www.sciencedirect.com/science/article/abs/pii/S0031320325004868)\|Code 231 | | TMM
²⁰²⁵ | ^`UGDNet` | Uncertainty-Guided Diffusion Model for Camouflaged Object Detection
^{_{*Jinsheng Yang; Bineng Zhong; Qihua Liang; Zhiyi Mo; Shengping Zhang; Shuxiang Song*}} | [Paper](https://ieeexplore.ieee.org/abstract/document/10855518)\|Code 232 | | TMM
²⁰²⁵ | ^`PRBE-Net` | Progressive Region-to-Boundary Exploration Network for Camouflaged Object Detection
^{_{*Guanghui Yue, Shangjie Wu, Tianwei Zhou, Gang Li, Jie Du, Yu Luo*}} | [Paper](https://ieeexplore.ieee.org/abstract/document/10814101)\|Code 233 | | TCSVT
²⁰²⁵ | ^`TANet` | TANet: Tri-Aspects Network for Camouflaged Object Detection
^{_{*Jahoon Jeong; Joonkyo Shim; Hyunsoo Yoon*}} | [Paper](https://ieeexplore.ieee.org/document/11016067)\|Code 234 | | TIFS
²⁰²⁵ | ^`MRNet` | Hunt Camouflaged Objects via Revealing Mutation Regions
^{_{*Xinyue Zhang; Jiahuan Zhou; Luxin Yan; Sheng Zhong; Xu Zou*}} | [Paper](https://ieeexplore.ieee.org/abstract/document/10843373)\|[Code](https://github.com/XinyueZhangHust/MRNet) 235 | | SCIS
²⁰²⁵ | ^{`COMPrompter`} | COMPrompter: Reconceptualized Segment Anything Model with Multiprompt Network for Camouflaged Object Detection
^{_{*Xiaoqin Zhang, Zhenni Yu, Li Zhao, Deng-Ping Fan, Guobao Xiao*}} | [Paper](https://arxiv.org/abs/2411.18858)\|[Code](https://github.com/guobaoxiao/COMPrompter) 236 | | ESWA
²⁰²⁵ | ^`CDP` | Seamless Detection: Unifying Salient Object Detection and Camouflaged Object Detection ^{_{*Yi Liu, Chengxin Li, Xiaohui Dong, Lei Li, Dingwen Zhang, Shoukun Xu, Jungong Han*}} | [Paper](https://arxiv.org/abs/2412.16840)\|[Code](https://github.com/liuyi1989/Seamless-Detection) 237 | | ESWA
²⁰²⁵ | ^`CSFIN` | CSFIN: A lightweight network for camouflaged object detection via cross-stage feature interaction ^{_{*Minghong Li, Yuqian Zhao, Fan Zhang, Gui Gui, Biao Luo, Chunhua Yang, Weihua Gui, Kan Chang*}} | [Paper](https://www.sciencedirect.com/science/article/abs/pii/S0957417425000739?via%3Dihub)\|Code 238 | | KBS
²⁰²⁵ | ^`BDCL-Net` | Bilateral decoupling complementarity learning network for camouflaged object detection ^{_{*Rui Zhao, Yuetong Li, Qing Zhang, Xinyi Zhao*}} | [Paper](https://www.sciencedirect.com/science/article/abs/pii/S0950705125002059)\|[Code](https://github.com/iuueong/BDCLNet) 239 | | KBS
²⁰²⁵ | ^`ESNet` | ESNet: An Efficient Skeleton-guided Network for camouflaged object detection ^{_{*Peng Ren, Tian Bai, Fuming Sun*}} | [Paper](https://www.sciencedirect.com/science/article/abs/pii/S0950705125001030)\|Code 240 | | KBS
²⁰²⁵ | ^`xxx` | Multi-level cross-knowledge fusion with edge guidance for camouflaged object detection ^{_{*Wei Sun, Qianzhou Wang, Yulong Tian, Xiaobao Yang, Xianguang Kong, Yizhuo Dong, Yanning Zhang*}} | [Paper](https://www.sciencedirect.com/science/article/abs/pii/S0950705125001170)\|Code 241 | | KBS
²⁰²⁵ | ^`CODdiff` | CODdiff: Prior leading diffusion model for Camouflage Object Detection ^{_{*Hong Zhang, Yixuan Lyu, Tian He, Xuliang Li, Yawei Li, Ding Yuan, Yifan Yang*}} | [Paper](https://www.sciencedirect.com/science/article/abs/pii/S0950705125004289?via%3Dihub)\|Code 242 | | NeuCom
²⁰²⁵ | ^`MambaCOD` | MambaCOD: Camouflaged object detection with state-space model
^{_{*Zhouyong Liu, Taotao Ji, Chunguo Li, Yongming Huang, Luxi Yang*}} | [Paper](https://www.sciencedirect.com/science/article/abs/pii/S0925231225017151?via%3Dihub)\|Code 243 | | NeuCom
²⁰²⁵ | ^`MCNet` | More observation leads to more clarity: Multi-view collaboration network for camouflaged object detection
^{_{*Fangyan Wang, Ge Jiao, Guowen Yue*}} | [Paper](https://www.sciencedirect.com/science/article/abs/pii/S0925231225011051?via%3Dihub)\|Code 244 | | NeuCom
²⁰²⁵ | ^`SurANet` | SurANet: Surrounding-Aware Network for Concealed Object Detection via Highly-Efficient Interactive Contrastive Learning Strategy
^{_{*Yuhan Kang, Qingpeng Li, Leyuan Fang, Jian Zhao, Xuelong Li*}} | [Paper](https://www.sciencedirect.com/science/article/abs/pii/S0925231225005351?via%3Dihub)\|[Code](https://github.com/kyh433/SurANet) 245 | | NeuCom
²⁰²⁵ | ^`FLRNet` | FLRNet: A bio-inspired three-stage network for Camouflaged Object Detection via filtering, localization and refinement
^{_{*Yilin Zhao, Qing Zhang, Yuetong Li*}} | [Paper](https://www.sciencedirect.com/science/article/abs/pii/S092523122500195X)\|Code 246 | | NeuCom
²⁰²⁵ | ^`EHAN` | EHAN: An explicitly high-order attention network for accurate camouflaged object detection
^{_{*Qingbo Wu, Guanxing Wu, Shengyong Chen*}} | [Paper](https://www.sciencedirect.com/science/article/abs/pii/S0925231224020204)\|Code 247 | | NeuCom
²⁰²⁵ | ^`EFNet` | Promoting camouflaged object detection through novel edge–target interaction and frequency-spatial fusion
^{_{*Juwei Guan, Weiqi Qian, Tongxin Zhu, Xiaolin Fang*}} | [Paper](https://www.sciencedirect.com/science/article/abs/pii/S0925231224018356)\|Code 248 | | EAAI
²⁰²⁵ | ^`KCNet` | Knowledge-guided and Collaborative Learning Network for Camouflaged Object Detection
^{_{*Dan Wu, Mengyin Wang, Jing Sun, Xu Jia*}} | [Paper](https://www.sciencedirect.com/science/article/abs/pii/S0952197625007717?via%3Dihub)\|[Code](https://github.com/wd61419/KCNet) 249 | | EAAI
²⁰²⁵ | ^`CLAD` | Enhancing camouflaged object detection through contrastive learning and data augmentation techniques
^{_{*Cunhan Guo, Heyan Huang*}} | [Paper](https://www.sciencedirect.com/science/article/abs/pii/S095219762401861X)\|Code 250 | | CVIU
²⁰²⁵ | ^`CTF-Net` | An effective CNN and Transformer fusion network for camouflaged object detection
^{_{*Dongdong Zhang, Chunping Wang, Huiying Wang, Qiang Fu, Zhaorui Li*}} | [Paper](https://www.sciencedirect.com/science/article/abs/pii/S1077314225001547?via%3Dihub)\|[Code](https://github.com/zcc0616/CTF-Net) 251 | | AIR
²⁰²⁵ | ^`PCNet` | PlantCamo: Plant Camouflage Detection _{![Static Badge](https://img.shields.io/badge/PlantCamo-grey)}
^{_{*Jinyu Yang and Qingwei Wang and Feng Zheng and Peng Chen and Aleš Leonardis and Deng-Ping Fan*}} | [Paper](https://arxiv.org/abs/2410.17598)\|[Code](https://github.com/yjybuaa/PlantCamo) 252 | 253 |

254 | 255 | 256 |

257 |

2024

258 | 259 | | **Pub.** | **Model** | **Title** | **Links** | 260 | | :------: | :------: | :----------------------------------------------------------- | :----------------------------------------------------------- | 261 | | TPAMI
²⁰²⁴ | ^`ZoomNeXt` | ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection
^{_{*Youwei Pang, Xiaoqi Zhao, Tian-Zhu Xiang, Lihe Zhang, Huchuan Lu*}} | [Offl.](https://ieeexplore.ieee.org/document/10568374)\|[arXiv](https://arxiv.org/abs/2310.20208)\|
[Code](https://github.com/lartpang/ZoomNeXt) 262 | | NeurIPS
²⁰²⁴ | ^`ProMaC` | Leveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable Segmentation
^{_{*Jian Hu, Jiayi Lin, Junchi Yan, Shaogang Gong*}} | [Paper](https://arxiv.org/abs/2408.15205)\|[Code](https://github.com/lwpyh/ProMaC_code) 263 | | ECCV
²⁰²⁴ | ^`WSSCOD` | Learning Camouflaged Object Detection from Noisy Pseudo Label `WSSCOD`
^{_{*Jin Zhang, Ruiheng Zhang, Yanjiao Shi, Zhe Cao, Nian Liu, Fahad Shahbaz Khan*}} | [Paper](https://arxiv.org/abs/2407.13157)\|[Code](https://github.com/zhangjinCV/Noisy-COD) 264 | | ECCV
²⁰²⁴ | ^`SAM-COD` | SAM-COD: SAM-guided Unified Framework for Weakly-Supervised Camouflaged Object Detection
^{_{*Huafeng Chen, Pengxu Wei, Guangqian Guo, Shan Gao*}} | [Paper](https://www.arxiv.org/abs/2408.10760)\|[Code](https://github.com/2231122/SAM-COD) 265 | | ECCV
²⁰²⁴ | ^`PSCOD` | Just a Hint: Point-Supervised Camouflaged Object Detection _{![Static Badge](https://img.shields.io/badge/P--COD-grey)}
^{_{*Huafeng Chen, Dian Shao, Guangqian Guo, Shan Gao*}} | [Paper](https://arxiv.org/abs/2408.10777v1)\|[Code](https://github.com/2231122/PCOD) 266 | | ECCV
²⁰²⁴ | ^`ACUMEN` | Unlocking Attributes' Contribution to Successful Camouflage: A Combined Textual and Visual Analysis Strategy _{![Static Badge](https://img.shields.io/badge/COD--TAX-grey)}
^{_{*Hong Zhang, Yixuan Lyu, Qian Yu, Hanyang Liu, Huimin Ma, Ding Yuan, Yifan Yang*}} | [Paper](https://arxiv.org/abs/2408.12086)\|[Code](https://github.com/lyu-yx/ACUMEN) 267 | | ECCV
²⁰²⁴ | ^`OVCoser` | Open-Vocabulary Camouflaged Object Segmentation _{![Static Badge](https://img.shields.io/badge/OVCamo-grey)}
^{_{*Youwei Pang, Xiaoqi Zhao, Jiaming Zuo, Lihe Zhang, Huchuan Lu*}} | [Paper](https://arxiv.org/abs/2311.11241)\|[Code](https://github.com/lartpang/OVCamo) 268 | | ECCV
²⁰²⁴ | ^`FSEL` | Frequency-Spatial Entanglement Learning for Camouflaged Object Detection
^{_{*Yanguang Sun, Chunyan Xu, Jian Yang, Hanyu Xuan, Lei Luo*}} | [Paper](https://arxiv.org/abs/2409.01686)\|[Code](https://github.com/CSYSI/FSEL) 269 | | ECCV
²⁰²⁴ | ^{`FocusDiffuser`} | FocusDiffuser: Perceiving Local Disparities for Camouflaged Object Detection
^{_{*Jianwei Zhao, Xin Li, Fan Yang, Qiang Zhai, Ao Luo, Zicheng Jiao, Hong Cheng*}} | [Paper](https://arxiv.org/abs/2407.13133)\|[Code](https://github.com/JWZhao-uestc/FocusDiffuser) 270 | | MM
²⁰²⁴ | ^`DSAM` | Exploring Deeper! Segment Anything Model with Depth Perception for Camouflaged Object Detection
^{_{*Zhenni Yu, Xiaoqin Zhang, Li Zhao, Yi Bin, Guobao Xiao*}} | [Paper](https://arxiv.org/abs/2407.12339)\|[Code](https://github.com/guobaoxiao/DSAM) 271 | | MM
²⁰²⁴ | ^`MMCPF` | Chain of Visual Perception: Harnessing Multimodal Large Language Models for Zero-shot Camouflaged Object Detection `ZS COD`
^{_{*Lv Tang, Peng-Tao Jiang, Zhihao Shen, Hao Zhang, Jinwei Chen, Bo Li*}} | [Paper](https://arxiv.org/abs/2311.11273)\|[Code](https://github.com/luckybird1994/MMCPF) 272 | | MM
²⁰²⁴ | ^`TPNet` | Text-prompt Camouflaged Instance Segmentation with Graduated Camouflage Learning
^{_{*Zhentao He, Changqun Xia, Shengye Qiao, Jia Li*}} | Paper\|Code 273 | | MM
²⁰²⁴ | ^`MiNet` | MiNet: Weakly-Supervised Camouflaged Object Detection through Mutual Interaction between Region and Edge Cues
^{_{*Yuzhen Niu, Lifen Yang, Rui Xu, Yuezhou Li, Yuzhong Chen*}} | [Paper](https://dl.acm.org/doi/10.1145/3664647.3680891)\|Code 274 | | CVPR
²⁰²⁴ | ^`Dual-SAM` | Fantastic Animals and Where to Find Them: Segment Any Marine Animal with Dual SAM
^{_{*Pingping Zhang, Tianyu Yan, Yang Liu, Huchuan Lu*}} | [Paper](https://openaccess.thecvf.com/content/CVPR2024/html/Zhang_Fantastic_Animals_and_Where_to_Find_Them_Segment_Any_Marine_CVPR_2024_paper.html)\|[Code](https://github.com/Drchip61/Dual_SAM) 275 | | CVPR
²⁰²⁴ | ^`LAKE-RED` | LAKE-RED: Camouflaged Images Generation by Latent Background Knowledge Retrieval-Augmented Diffusion `Gen`
^{_{*Pancheng Zhao, Peng Xu, Pengda Qin, Deng-Ping Fan, Zhicheng Zhang, Guoli Jia, Bowen Zhou, Jufeng Yang*}} | [Paper](https://arxiv.org/abs/2404.00292)\|[Code](https://github.com/PanchengZhao/LAKE-RED) 276 | | CVPR
²⁰²⁴ | ^`VSCode` | VSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt Learning
^{_{*Ziyang Luo, Nian Liu, Wangbo Zhao, Xuguang Yang, Dingwen Zhang, Deng-Ping Fan, Fahad Khan, Junwei Han*}} | [Paper](https://arxiv.org/abs/2311.15011)\|[Code](https://github.com/Sssssuperior/VSCode) 277 | | CVPR
²⁰²⁴ | ^`RISNet` | Depth-Aware Concealed Crop Detection in Dense Agricultural Scenes _{![Static Badge](https://img.shields.io/badge/ACOD--12K-grey)}
^{_{*Liqiong Wang, Jinyu Yang, Yanfu Zhang, Fangyi Wang, Feng Zheng*}} | [Paper](https://openaccess.thecvf.com/content/CVPR2024/html/Wang_Depth-Aware_Concealed_Crop_Detection_in_Dense_Agricultural_Scenes_CVPR_2024_paper.html)\|[Code](https://github.com/Kki2Eve/RISNet) 278 | | ICLR
²⁰²⁴ | ^`ICEG` | Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects
^{_{*Chunming He, Kai Li, Yachao Zhang, Yulun Zhang, Zhenhua Guo, Xiu Li, Martin Danelljan, Fisher Yu*}} | [Paper](https://arxiv.org/abs/2308.03166)\|[Code](https://github.com/ChunmingHe/Camouflageator) 279 | | AAAI
²⁰²⁴ | ^{`Camo`
`Diffusion`} | CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion Models
^{_{*Chen, Zhongxi and Sun, Ke and Lin, Xianming and Ji, Rongrong*}} | [Paper](https://ojs.aaai.org/index.php/AAAI/article/view/27890)\|[Code](https://github.com/Rapisurazurite/CamoDiffusion) 280 | | AAAI
²⁰²⁴ | ^`GenSAM` | Relax Image-Specific Prompt Requirement in SAM: A Single Generic Prompt for Segmenting Camouflaged Objects
^{_{*Jian Hu, Jiayi Lin, Weitong Cai, Shaogang Gong*}} | [Paper](https://arxiv.org/abs/2312.07374)\|[Proj](https://lwpyh.github.io/GenSAM/)\|
[Code](https://github.com/jyLin8100/GenSAM) 281 | | ICME
²⁰²⁴ | ^`FBG-Net` | Fuzzy Boundary-Guided Network for Camouflaged Object Detection
^{_{*Qi Jia, Shuilian Yao, Youcan Xu, Yu Liu, Dehao Kong, Longin Jan Latecki*}} | [Paper](https://ieeexplore.ieee.org/document/10687409)\|[Code](https://github.com/YAOSL98/FBG-Net) 282 | | ICASSP
²⁰²⁴ | ^`EANet` | Edge Attention Learning for Efficient Camouflaged Object Detection
^{_{*Zijian Liu; Ping Jiang; Lixin Lin; Xiaoheng Deng*}} | [Paper](https://ieeexplore.ieee.org/document/10448139)\|Code 283 | | BMVC
²⁰²⁴ | ^`ENTO` | A Revisit to the Decoder for Camouflaged Object Detection
^{_{*Seung Woo Ko, Joopyo Hong, Suyoung Kim, Seungjai Bang, Sungzoon Cho, Nojun Kwak, Hyung-Sin Kim, Joonseok Lee*}} | [Paper](https://arxiv.org/abs/2503.14035)\|Code 284 | | WACV
²⁰²⁴ | ^`CamoFocus` | CamoFocus: Enhancing Camouflage Object Detection With Split-Feature Focal Modulation and Context Refinement
^{_{*Abbas Khan, Mustaqeem Khan, Wail Gueaieb, Abdulmotaleb El Saddik, Giulia De Masi, Fakhri Karray*}} | [Paper](https://openaccess.thecvf.com/content/WACV2024/html/Khan_CamoFocus_Enhancing_Camouflage_Object_Detection_With_Split-Feature_Focal_Modulation_and_WACV_2024_paper.html)\|Code 285 | | -- | -- | -- | -- | 286 | | TPAMI
²⁰²⁴ | ^`CamoFormer` | CamoFormer: Masked Separable Attention for Camouflaged Object Detection
^{_{*Bowen Yin; Xuying Zhang; Deng-Ping Fan; Shaohui Jiao; Ming-Ming Cheng; Luc Van Gool; Qibin Hou*}} | [Offl.](https://ieeexplore.ieee.org/document/10623294)\|[arXiv](https://arxiv.org/abs/2212.06570)\|
[Code](https://github.com/HVision-NKU/CamoFormer) 287 | | TIP
²⁰²⁴ | ^`HGINet` | Hierarchical Graph Interaction Transformer with Dynamic Token Clustering for Camouflaged Object Detection
^{_{*Siyuan Yao, Hao Sun, Tian-Zhu Xiang, Xiao Wang, Xiaochun Cao*}} | [Offl.](https://ieeexplore.ieee.org/document/10719619)\|[arXiv](https://arxiv.org/abs/2408.15020)\|
[Code](https://github.com/Garyson1204/HGINet) 288 | | TIP
²⁰²⁴ | ^`IdeNet` | IdeNet: Making Neural Network Identify Camouflaged Objects Like Creatures
^{_{*Juwei Guan; Xiaolin Fang; Tongxin Zhu; Zhipeng Cai; Zhen Ling; Ming Yang; Junzhou Luo*}} | [Paper](https://ieeexplore.ieee.org/abstract/document/10661228)\|[Code](https://github.com/whyandbecause/IdeNet) 289 | | TNNLS
²⁰²⁴ | ^`GLCONet` | GLCONet: Learning Multi-source Perception Representation for Camouflaged Object Detection
^{_{*Yanguang Sun, Hanyu Xuan, Jian Yang, Lei Luo*}} | [Paper](https://arxiv.org/abs/2409.09588)\|[Code](https://github.com/CSYSI/GLCONet) 290 | | TMM
²⁰²⁴ | ^`DINet` | Decoupling and Integration Network for Camouflaged Object Detection
^{_{*Xiaofei Zhou; Zhicong Wu; Runmin Cong*}} | [Paper](https://ieeexplore.ieee.org/abstract/document/10417767)\|Code 291 | | TMM
²⁰²⁴ | ^`FGSA-Net` | Frequency-Guided Spatial Adaptation for Camouflaged Object Detection
^{_{*Shizhou Zhang, Dexuan Kong, Yinghui Xing, Yue Lu, Lingyan Ran, Guoqiang Liang, Hexu Wang, Yanning Zhang*}} | [Paper](https://arxiv.org/abs/2409.12421)\|Code 292 | | PR
²⁰²⁴ | ^`DSNet` | Camouflaged Object Detection via Dual-branch Fusion and Dual Self-similarity constraints
^{_{*Haozhe Yang, Yuan Zhu, Ke Sun, Haoyang Ding, Xianming Lin*}} | [Paper](https://www.sciencedirect.com/science/article/abs/pii/S0031320324006460)\|Code 293 | | IF
²⁰²⁴ | ^`MAM-FFC` | Multidimensional fusion of frequency and spatial domain information for enhanced camouflaged object detection
^{_{*Tingran Wang, Zaiyang Yu, Jianwei Fang, Jinlong Xie, Feng Yang, et al.*}} | [Paper](https://www.sciencedirect.com/science/article/abs/pii/S1566253524006493)\|[Code](https://github.com/CHANTILLY2023/MAMIFNet) 294 | | ESWA
²⁰²⁴ | ^`BiDiCOS` | BiDiCOS: Camouflaged object segmentation via bilateral diffusion model
^{_{*Xinhao Jiang, Wei Cai, Yao Ding, Xin Wang, Danfeng Hong, Xingyu Di, Weijie Gao*}} | [Paper](https://www.sciencedirect.com/science/article/abs/pii/S0957417424016142)\|[Code](https://github.com/jiangxinhao2020/BiDiCOS) 295 | | KBS
²⁰²⁴ | ^`SDRNet` | SDRNet: Camouflaged object detection with independent reconstruction of structure and detail
^{_{*Juwei Guan, Xiaolin Fang, Tongxin Zhu, Weiqi Qian*}} | [Paper](https://www.sciencedirect.com/science/article/abs/pii/S0950705124006853)\|[Code](https://github.com/whyandbecause/SDRNet/) 296 | | TCSVT
²⁰²⁴ | ^`MVGNet` | A Universal Multi-View Guided Network for Salient Object and Camouflaged Object Detection
^{_{*Xiaogang Song; Pengfei Zhang; Xiaofeng Lu; Xinhong Hei; Rongrong Liu*}} | [Paper](https://ieeexplore.ieee.org/abstract/document/10568109)\|[Code](https://github.com/1900zpf/MVGNet) 297 | | TCSVT
²⁰²⁴ | ^`DRFNet` | Learning Discriminative Representations From Cross-Scale Features for Camouflaged Object Detection
^{_{*Yongchao Wang; Xiuli Bi; Bo Liu; Yang Wei; Weisheng Li; Bin Xiao*}} | [Paper](https://ieeexplore.ieee.org/abstract/document/10616011)\|Code 298 | | TCSVT
²⁰²⁴ | ^`CoNet` | CoNet: A Consistency-Oriented Network for Camouflaged Object Segmentation
^{_{*Fei Wu; Jun Yin; Xiaochuan Li; Jianfeng Wu; Da Jin; Jiamin Yang*}} | [Paper](https://ieeexplore.ieee.org/abstract/document/10681598)\|Code 299 | | TCSVT
²⁰²⁴ | ^`FDRNet` | Edge Perception Camouflaged Object Detection under Frequency Domain Reconstruction
^{_{*Zijian Liu; Xiaoheng Deng; Ping Jiang; Conghao Lv; Geyong Min; Xin Wang*}} | [Paper](https://ieeexplore.ieee.org/document/10536093)\|Code 300 | | TCSVT
²⁰²⁴ | ^`PRNet` | Efficient Camouflaged Object Detection Network Based on Global Localization Perception and Local Guidance Refinement
^{_{*Xihang Hu; Xiaoli Zhang; Fasheng Wang; Jing Sun; Fuming Sun*}} | [Paper](https://ieeexplore.ieee.org/abstract/document/10379651)\|[Code](https://github.com/hu-xh/PRNet) 301 | | TCSVT
²⁰²⁴ | ^`CMNet` | Finding Camouflaged Objects Along the Camouflage Mechanisms
^{_{*Yang Yang; Qiang Zhang*}} | [Paper](https://ieeexplore.ieee.org/document/10231131)\|Code 302 | | CVIU
²⁰²⁴ | ^`DCPNet` | Dual cross perception network with texture and boundary guidance for camouflaged object detection
^{_{*Yaming Wang, Jiatong Chen, Xian Fang, Mingfeng Jiang, Jianhua Ma*}} | [Paper](https://www.sciencedirect.com/science/article/abs/pii/S1077314224002121)\|Code 303 | | CVIU
²⁰²⁴ | ^`PGTNet` | Camouflaged object segmentation with prior via two-stage training
^{_{*Rui Wang, Caijuan Shi, Changyu Duan, Weixiang Gao, Hongli Zhu, Yunchao Wei, Meiqin Liu*}} | [Paper](https://www.sciencedirect.com/science/article/abs/pii/S1077314224001425)\|[Code](https://github.com/Ray3417/PGT) 304 | | NeuCom
²⁰²⁴ | ^`MCA-SAM` | Multi-scale contrastive adaptor learning for segmenting anything in underperformed scenes
^{_{*Ke Zhou, Zhongwei Qiu, Dongmei Fu*}} | [Paper](https://arxiv.org/abs/2408.05936)\|Code 305 | | ApplInt
²⁰²⁴ | ^`TJNet` | Two guidance joint network based on coarse map and edge map for camouflaged object detection
^{_{*Zhe Tang, Jing Tang, Dengpeng Zou, Junyi Rao & Fang Qi*}} | [Paper](https://link.springer.com/article/10.1007/s10489-024-05559-y)\|[Code](https://github.com/Huah2019/TJNet) 306 | | ApplInt
²⁰²⁴ | ^`CCSNet` | Detecting camouflaged objects via cross-level context supplement
^{_{*Qing Zhang, Weiqi Yan, Rui Zhao, Yanjiao Shi & Jian Zeng*}} | [Paper](https://link.springer.com/article/10.1007/s10489-024-05694-6)\|Code 307 | | MIR
²⁰²⁴ | ^`-` | Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world Applications
^{_{*Wei Ji, Jingjing Li, Qi Bi, Tingwei Liu, Wenbo Li, Li Cheng*}} | [Offl.](https://link.springer.com/article/10.1007/s11633-023-1385-0)\|[arXiv](https://arxiv.org/abs/2304.05750)\|
[Code](https://github.com/LiuTingWed/SAM-Not-Perfect) 308 | | TII
²⁰²⁴ | ^`VSSNet` | Camouflaged Object Detection via Complementary Information-Selected Network Based on Visual and Semantic Separation
^{_{*Chao Yin; Kequan Yang; Jide Li; Xiaoqiang Li; Yifan Wu*}} | [Paper](https://ieeexplore.ieee.org/abstract/document/10609401)\|Code 309 | | TIM
²⁰²⁴ | ^`DPSNet` | DPSNet: A Detail Perception Synergistic Network for Camouflaged Object Detection
^{_{*Xiaofei Li; Sheng Long; Jiaxin Yang; Jun Lei; Shuohao Li; Jun Zhang*}} | [Paper](https://ieeexplore.ieee.org/abstract/document/10771944)\|[Code](https://github.com/fxle/DPSNet) 310 | | TCE
²⁰²⁴ | ^`SAE` | Shrink and Expose: Locate Edge Coarse-to-Fine for Camouflaged Object Detection
^{_{*Kejun Kang; Yixiu Liu; Yaoqi Sun; Shangdong Zhu; Fawei Ge; Wei Wang*}} | [Paper](https://ieeexplore.ieee.org/abstract/document/10772193)\|[Code](https://github.com/creamm-kk/SAE) 311 | | COMPAG
²⁰²⁴ | ^`TEAVit` | Green fruit detection methods: Innovative application of camouflage object detection and multilevel feature mining
^{_{*Yuting Zhai, Zongmei Gao, Yang Zhou, Jian Li, Yuqi Zhang, Yanlei Xu*}} | [Paper](https://www.sciencedirect.com/science/article/abs/pii/S0168169924007476)\|Code 312 | | ECOINF
²⁰²⁴ | ^`YOLOv8-SIM` | Camouflage detection: Optimization-based computer vision for Alligator sinensis with low detectability in complex wild environments `BBox`
^{_{*Yantong Liu, Sai Che, Liwei Ai, Chuanxiang Song, Zheyu Zhang, Yongkang Zhou, Xiao Yang, Chen Xian*}} | [Paper](https://www.sciencedirect.com/science/article/pii/S1574954124003443)\|[Code](https://github.com/Ap1rate/yolov8-SIM) 313 | | ACCESS
²⁰²⁴ | ^`FS-CDIS` | The Art of Camouflage: Few-shot Learning for Animal Detection and Segmentation _{![Static Badge](https://img.shields.io/badge/CAMO--FS-grey)}
^{_{*Thanh-Danh Nguyen, Anh-Khoa Nguyen Vu, Nhat-Duy Nguyen, Vinh-Tiep Nguyen, Thanh Duc Ngo, et al.*}} | [Paper](https://ieeexplore.ieee.org/document/10608133)\|[Code](https://github.com/danhntd/FS-CDIS) 314 | 315 | 317 | 318 |

319 | 320 | 321 |

322 |

2023

323 | 324 | | **Pub.** | **Model** | **Title** | **Links** | 325 | | :------: | :------: | :----------------------------------------------------------- | :----------------------------------------------------------- | 326 | | NeurIPS
²⁰²³ | ^`WS-SAM` | Weakly-Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Multi-scale Feature Grouping
^{_{*Chunming He, Kai Li, Yachao Zhang, Guoxia Xu, Longxiang Tang, Yulun Zhang, Zhenhua Guo, Xiu Li*}} | [Paper](https://arxiv.org/abs/2305.11003)\|[Code](https://github.com/ChunmingHe/WS-SAM) 327 | | MM
²⁰²³ | ^`UQFormer` | A Unified Query-based Paradigm for Camouflaged Instance Segmentation
^{_{*Do Dong, Jialun Pei, Rongrong Gao, Tian-Zhu Xiang, Shuo Wang, Huan Xiong*}} | [Paper](https://arxiv.org/abs/2308.07392)\|[Code](https://github.com/dongbo811/UQFormer) 328 | | MM
²⁰²³ | ^`FPNet` | Frequency Perception Network for Camouflaged Object Detection
^{_{*Runmin Cong, Mengyao Sun, Sanyi Zhang, Xiaofei Zhou, Wei Zhang, Yao Zhao*}} | [Paper](https://arxiv.org/abs/2308.08924)\|[Code](https://github.com/rmcong/FPNet_ACMMM23) 329 | | MM
²⁰²³ | ^`FRINet` | Frequency Representation Integration for Camouflaged Object Detection
^{_{*Chenxi Xie, Changqun Xia, Tianshu Yu, Jia Li*}} | [Paper](https://dl.acm.org/doi/10.1145/3581783.3611773)\|[Code](https://github.com/iCVTEAM/FRINet) 330 | | MM
²⁰²³ | ^`DaCOD` | Depth-aided Camouflaged Object Detection
^{_{*Qingwei Wang, Jinyu Yang, Xiaosheng Yu, Fangyi Wang, Peng Chen, Feng Zheng*}} | [Paper](https://dl.acm.org/doi/10.1145/3581783.3611874)\|[Code](https://github.com/qingwei-wang/DaCOD) 331 | | MM
²⁰²³ | ^`XMSNet` | Object Segmentation by Mining Cross-Modal Semantics
^{_{*Zongwei Wu, Jingjing Wang, Zhuyun Zhou, Zhaochong An, Qiuping Jiang, Cédric Demonceaux, Guolei Sun, Radu Timofte*}} | [Paper](https://arxiv.org/abs/2305.10469)\|[Code](https://github.com/Zongwei97/XMSNet) 332 | | IJCAI
²⁰²³ | ^`PENet` | Locate, Refine and Restore: A Progressive Enhancement Network for Camouflaged Object Detection
^{_{*Xiaofei Li, Jiaxin Yang, Shuohao Li, Jun Lei, Jun Zhang, Dong Chen*}} | [Paper](https://www.ijcai.org/proceedings/2023/124)\|Code 333 | | ICCV
²⁰²³ | ^`PopNet` | Source-free Depth for Object Pop-out
^{_{*Zongwei Wu, Danda Pani Paudel, Deng-Ping Fan, Jingjing Wang, Shuo Wang, Cedric Demonceaux, Radu Timofte, Luc Van Gool*}} | [Paper](https://arxiv.org/abs/2212.05370)\|[Code](https://github.com/Zongwei97/PopNet) 334 | | ICCV
²⁰²³ | ^`-` | The Making and Breaking of Camouflage
^{_{*Hala Lamdouar, Weidi Xie, Andrew Zisserman*}} | [Paper](https://arxiv.org/abs/2309.03899)\|[Code](https://github.com/hlamdouar/CAMEVAL) 335 | | ICCVW
²⁰²³ | ^{`SAM-Adapter`} | SAM-Adapter: Adapting Segment Anything in Underperformed Scenes
^{_{*Tianrun Chen, Lanyun Zhu, Chaotao Deng, Runlong Cao, Yan Wang, Shangzhan Zhang, Zejian Li, Lingyun Sun, Ying Zang, Papa Mao*}} | [Offl.](https://openaccess.thecvf.com/content/ICCV2023W/VCL/html/Chen_SAM-Adapter_Adapting_Segment_Anything_in_Underperformed_Scenes_ICCVW_2023_paper.html)\|[arXiv](https://arxiv.org/abs/2304.09148)\|
[Code](https://github.com/tianrun-chen/SAM-Adapter-PyTorch) 336 | | CVPR
²⁰²³ | ^`FSPNet` | Feature Shrinkage Pyramid for Camouflaged Object Detection with Transformers
^{_{*Zhou Huang, Hang Dai, Tian-Zhu Xiang, Shuo Wang, Huai-Xin Chen, Jie Qin, and Huan Xiong*}} | [Paper](https://arxiv.org/abs/2303.14816)\|[Code](https://github.com/ZhouHuang23/FSPNet) 337 | | CVPR
²⁰²³ | ^`FEDER` | Camouflaged Object Detection with Feature Decomposition and Edge Reconstruction
^{_{*Chunming He, Kai Li, Yachao Zhang, Longxiang Tang, Yulun Zhang, Zhenhua Guo, Xiu Li*}} | [Paper](https://openaccess.thecvf.com/content/CVPR2023/html/He_Camouflaged_Object_Detection_With_Feature_Decomposition_and_Edge_Reconstruction_CVPR_2023_paper.html)\|[Code](https://github.com/ChunmingHe/FEDER) 338 | | CVPR
²⁰²³ | ^`EVP` | Explicit Visual Prompting for Low-Level Structure Segmentations
^{_{*Weihuang Liu, Xi Shen, Chi-Man Pun, Xiaodong Cun*}} | [Paper](https://arxiv.org/abs/2303.10883)\|[Code](https://github.com/NiFangBaAGe/Explicit-Visual-Prompt) 339 | | CVPR
²⁰²³ | ^`IOCFormer` | Indiscernible Object Counting in Underwater Scenes _{![Static Badge](https://img.shields.io/badge/IOCfish5K-grey)}
^{_{*Guolei Sun, Zhaochong An, Yun Liu, Ce Liu, Christos Sakaridis, Deng-Ping Fan, Luc Van Gool*}} | [Paper](https://arxiv.org/abs/2304.11677)\|[Code](https://github.com/GuoleiSun/Indiscernible-Object-Counting) 340 | | AAAI
²⁰²³ | ^`CRNet` | Weakly-Supervised Camouflaged Object Detection with Scribble Annotations _{![Static Badge](https://img.shields.io/badge/S--COD-grey)}
^{_{*Ruozhen He, Qihua Dong, Jiaying Lin, Rynson W.H. Lau*}} | [Paper](https://arxiv.org/abs/2207.14083)\|[Code](https://github.com/dddraxxx/Weakly-Supervised-Camouflaged-Object-Detection-with-Scribble-Annotations) 341 | | AAAI
²⁰²³ | ^`HitNet` | High-resolution Iterative Feedback Network for Camouflaged Object Detection
^{_{*Xiaobin Hu, Deng-Ping Fan, Xuebin Qin, et al.*}} | [Paper](https://ojs.aaai.org/index.php/AAAI/article/view/25167)\|[Code](https://github.com/HUuxiaobin/HitNet) 342 | | ECAI
²⁰²³ | ^`diffCOD` | Diffusion Model for Camouflaged Object Detection
^{_{*Zhennan Chen, Rongrong Gao, Tian-Zhu Xiang, Fan Lin*}} | [Paper](https://arxiv.org/abs/2308.00303)\|[Code](https://github.com/ZNan-Chen/diffCOD) 343 | | ICASSP
²⁰²³ | ^`TinyCOD` | TINYCOD: Tiny and Effective Model for Camouflaged Object Detection
^{_{*Haozhe Xing; Shuyong Gao; Hao Tang; Tsui Qin Mok; Yanlan Kang; Wenqiang Zhang*}} | [Paper](https://ieeexplore.ieee.org/document/10095226)\|[Code](https://github.com/Haozhe-Xing/TinyCOD) 344 | | ICME
²⁰²³ | ^`EAMNet` | Edge-Aware Mirror Network for Camouflaged Object Detection
^{_{*Dongyue Sun, Shiyao Jiang, Lin Qi*}} | [Paper](https://arxiv.org/abs/2307.03932)\|[Code](https://github.com/sdy1999/EAMNet) 345 | | ICME
²⁰²³ | ^`FDNet` | Camouflaged Object Detection with Feature Grafting and Distractor Aware _{![Static Badge](https://img.shields.io/badge/ACOD2K-grey)}
^{_{*Yuxuan Song, Xinyue Li, Lin Qi*}} | [Paper](https://arxiv.org/abs/2307.03943)\|[Code](https://github.com/syxvision/FDNet) 346 | | ICME
²⁰²³ | ^`OAFormer` | OAFormer: Occlusion Aware Transformer for Camouflaged Object Detection
^{_{*Xin Yang, Hengliang Zhu, Guojun Mao, Shuli Xing*}} | [Paper](https://ieeexplore.ieee.org/document/10219627)\|[Code](https://github.com/xinyang920/OAFormer) 347 | | ICME
²⁰²³ | ^`CFANet` | CFANet: A Cross-layer Feature Aggregation Network for Camouflaged Object Detection
^{_{*Qing ZhangWeiqi Yan*}} | [Paper](https://ieeexplore.ieee.org/document/10219858)\|[Code](https://github.com/ZhangQing0329/CFANet) 348 | | WACV
²⁰²³ | ^`MFFN` | MFFN: Multi-view Feature Fusion Network for Camouflaged Object Detection
^{_{*Dehua Zheng, Xiaochen Zheng, Laurence T. Yang, Yuan Gao, Chenlu Zhu, Yiheng Ruan*}} | [Paper](https://arxiv.org/abs/2210.06361)\|[Code](https://github.com/dwardzheng/MFFN_COD) 349 | | -- | -- | -- | -- | 350 | | IJCV
²⁰²³ | ^`OPNet` | Camouflaged Object Segmentation with Omni Perception
^{_{*Haiyang Mei, Ke Xu, Yunduo Zhou, Yang Wang, Haiyin Piao, Xiaopeng Wei, Xin Yang*}} | [Paper](https://www.researchgate.net/publication/372312626_Camouflaged_Object_Segmentation_with_Omni_Perception)\|[Code](https://github.com/Mhaiyang/2023_IJCV_OPNet) 351 | | TIP
²⁰²³ | ^`SAT` | Nowhere to Disguise: Spot Camouflaged Objects via Saliency Attribute Transfer
^{_{*Wenda Zhao; Shigeng Xie; Fan Zhao; You He; Huchuan Lu*}} | [Paper](https://ieeexplore.ieee.org/abstract/document/10132418)\|[Code](https://github.com/wdzhao123/SAT) 352 | | TIP
²⁰²³ | ^`PUENet` | Predictive Uncertainty Estimation for Camouflaged Object Detection
^{_{*Yi Zhang, Jing Zhang, Wassim Hamidouche, Olivier Deforges*}} | [Paper](https://hal.science/hal-04142929/)\|[Code](https://github.com/Jun-Pu/PUENet) 353 | | TIP
²⁰²³ | ^`FSNet` | FSNet: Focus Scanning Network for Camouflaged Object Detection
^{_{*Ze Song; Xudong Kang; Xiaohui Wei; Haibo Liu; Renwei Dian; Shutao Li*}} | [Paper](https://ieeexplore.ieee.org/document/10103836)\|[Code](https://github.com/SongZeHNU/FSNet) 354 | | TIP
²⁰²³ | ^`ZSCOD` | Zero-Shot Camouflaged Object Detection `ZS COD`
^{_{*Haoran Li; Chun-Mei Feng; Yong Xu; Tao Zhou; Lina Yao; Xiaojun Chang*}} | [Paper](https://ieeexplore.ieee.org/abstract/document/10234216)\|Code 355 | | TNNLS
²⁰²³ | ^`BBNet` | Collaborative Camouflaged Object Detection: A Large-Scale Dataset and Benchmark _{![Static Badge](https://img.shields.io/badge/CoCOD8K-grey)}
^{_{*Cong Zhang, Hongbo Bi, Tian-Zhu Xiang, Ranwan Wu, Jinghui Tong, Xiufang Wang*}} | [Paper](https://arxiv.org/abs/2310.04253)\|[Code](https://github.com/zc199823/BBNet--CoCOD) 356 | | TNNLS
²⁰²³ | ^`MRR-Net` | Camouflaged Object Segmentation Based on Matching–Recognition–Refinement Network
^{_{*Xinyu Yan; Meijun Sun; Yahong Han; Zheng Wang*}} | [Paper](https://ieeexplore.ieee.org/document/10180211)\|[Code](https://github.com/XinyuYanTJU/MRR-Net) 357 | | TNNLS
²⁰²³ | ^`PCPNet` | Pixel-Centric Context Perception Network for Camouflaged Object Detection
^{_{*Ze Song; Xudong Kang; Xiaohui Wei; Shutao Li*}} | [Paper](https://ieeexplore.ieee.org/abstract/document/10278183)\|Code 358 | | TMM
²⁰²³ | ^`UEDG` | UEDG: Uncertainty-Edge Dual Guided Camouflage Object Detection
^{_{*Lyu, Yixuan and Zhang, Hong and Li, Yan and Liu, Hanyang and Yang, Yifan and Yuan, Ding*}} | [Paper](https://ieeexplore.ieee.org/document/10183371)\|[Code](https://github.com/lyu-yx/UEDG) 359 | | PR
²⁰²³ | ^`Bi-RRNet` | Bi-RRNet: Bi-level recurrent refinement network for camouflaged object detection
^{_{*Yan Liu, Kaihua Zhang, Yaqian Zhao, Hu Chen, Qingshan Liu*}} | [Paper](https://www.sciencedirect.com/science/article/abs/pii/S0031320323002145)\|Code 360 | | SCIS
²⁰²³ | ^`-` | SAM Struggles in Concealed Scenes - Empirical Study on "Segment Anything"
^{_{*Ge-Peng Ji, Deng-Ping Fan, Peng Xu, Bowen Zhou, Ming-Ming Cheng & Luc Van Gool*}} | [Paper](https://arxiv.org/abs/2304.06022)\|Code 361 | | TCSVT
²⁰²³ | ^`LSR+` | Towards Deeper Understanding of Camouflaged Object Detection _{![Static Badge](https://img.shields.io/badge/CAM--LDR-grey)}
^{_{*Yunqiu Lv, Jing Zhang, Yuchao Dai, Aixuan Li, Nick Barnes, Deng-Ping Fan*}} | [Paper](https://arxiv.org/abs/2205.11333)/[Code](https://github.com/JingZhang617/COD-Rank-Localize-and-Segment) 362 | | TCSVT
²⁰²³ | ^`MSCAF-Net` | MSCAF-Net: A General Framework for Camouflaged Object Detection via Learning Multi-Scale Context-Aware Features
^{_{*Yu Liu; Haihang Li; Juan Cheng; Xun Chen*}} | [Paper](https://ieeexplore.ieee.org/abstract/document/10045692)\|[Code](https://github.com/yuliu316316/MSCAF-COD) 363 | | TCSVT
²⁰²³ | ^`SARNet` | Go Closer To See Better: Camouflaged Object Detection via Object Area Amplification and Figure-ground Conversion
^{_{*Haozhe Xing; Yan Wang; Xujun Wei; Hao Tang; Shuyong Gao; Wenqiang Zhang*}} | [Paper](https://ieeexplore.ieee.org/abstract/document/10065514)/[Code](https://github.com/Haozhe-Xing/SARNet) 364 | | TCSVT
²⁰²³ | ^`DCNet` | Dual-Constraint Coarse-to-Fine Network for Camouflaged Object Detection
^{_{*Guanghui Yue; Houlu Xiao; Hai Xie; Tianwei Zhou; Wei Zhou; Weiqing Yan; etc.*}} | [Paper](https://ieeexplore.ieee.org/abstract/document/10262011)\|Code 365 | | TCSVT
²⁰²³ | ^`TANet` | Deep Texture-Aware Features for Camouflaged Object Detection
^{_{*Jingjing Ren, Xiaowei Hu, Lei Zhu, Xuemiao Xu, et al.*}} | [Paper](https://arxiv.org/pdf/2102.02996.pdf)\|Code 366 | | Neucom
²⁰²³ | ^`CINet` | Camouflaged object detection with counterfactual intervention
^{_{*Xiaofei Li, Hongying Li, Hao Zhou, Miaomiao Yu, Dong Chen, Shuohao Li, Jun Zhang*}} | [Paper](https://www.sciencedirect.com/science/article/abs/pii/S0925231223006537)\|Code 367 | | TIM
²⁰²³ | ^`JCNet` | Camouflaged Object Segmentation Based on Joint Salient Object for Contrastive Learning
^{_{*Jiang, Xinhao and Cai, Wei and Ding, Yao and Wang, Xin and Hong, Danfeng and Yang, Zhiyong and Gao, Weijie*}} | [Paper](https://ieeexplore.ieee.org/abstract/document/10224812)\|[Code](https://github.com/jiangxinhao2020/JCNet) 368 | | ApplInt
²⁰²³ | ^`TSFNet` | Ternary symmetric fusion network for camouflaged object detection
^{_{*Yangyang Deng, Jianxin Ma, Yajun Li, Min Zhang & Li Wang*}} | [Paper](https://link.springer.com/article/10.1007/s10489-023-04898-6)\|Code 369 | 370 |

371 | 372 | 373 |

374 |

2022

375 | 376 | | **Pub.** | **Model** | **Title** | **Links** | 377 | | :------: | :------: | :----------------------------------------------------------- | :----------------------------------------------------------- | 378 | | NeurIPS
²⁰²² | ^`FGA-Net` | Exploring Figure-Ground Assignment Mechanism in Perceptual Organization
^{_{*Wei Zhai, Yang Cao, Jing Zhang, Zheng-Jun Zha*}} | [Paper](https://proceedings.neurips.cc/paper_files/paper/2022/hash/6cc31b44d88dce8380d36e81485cd07f-Abstract-Conference.html)\|[Code](https://openreview.net/forum?id=c3HrNgQE7d) 379 | | MM
²⁰²² | ^`PreyNet` | PreyNet: Preying on camouflaged objects
^{_{*M Zhang, S Xu, Yongri Piao, D Shi, S Lin, H Lu*}} | [Paper](https://dl.acm.org/doi/abs/10.1145/3503161.3548178)\|[Code](https://github.com/sxu1997/PreyNet) 380 | | IJCAI
²⁰²² | ^`BGNet` | Boundary-Guided Camouflaged Object Detection
^{_{*Yujia Sun, Shuo Wang, Chenglizhao Chen, Tian-Zhu Xiang*}} | [Paper](https://www.ijcai.org/proceedings/2022/186)\|[Code](https://github.com/thograce/BGNet) 381 | | CVPR
²⁰²² | ^`ZoomNet` | Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection
^{_{*Youwei Pang, Xiaoqi Zhao, Tian-Zhu Xiang, Lihe Zhang, Huchuan Lu*}} | [Paper](https://arxiv.org/abs/2203.02688)\|[Code](https://github.com/lartpang/ZoomNet) 382 | | CVPR
²⁰²² | ^`SegMaR` | Segment, Magnify and Reiterate: Detecting Camouflaged Objects the Hard Way
^{_{*Qi Jia, S. Yao, Yu Liu, et al.*}} | [Paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Jia_Segment_Magnify_and_Reiterate_Detecting_Camouflaged_Objects_the_Hard_Way_CVPR_2022_paper.pdf)\|[Code](https://github.com/dlut-dimt/SegMaR) 383 | | CVPR
²⁰²² | ^`-` | Detecting Camouflaged Object in Frequency Domain
^{_{*Yijie Zhong, Bo Li, Lv Tang, et al.*}} | [Paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Zhong_Detecting_Camouflaged_Object_in_Frequency_Domain_CVPR_2022_paper.pdf)\|[Code](https://github.com/VisibleShadow/Implementation-of-Detecting-Camouflaged-Object-in-Frequency-Domain) 384 | | AAAI
²⁰²² | ^`BSA-Net` | I can find you! Boundary-guided Separated Attention Network for Camouflaged Object Detection
^{_{*Hongwei Zhu, Peng Li, Haoran Xie, Mingqiang Wei, et al.*}} | [Paper](https://www.aaai.org/AAAI22Papers/AAAI-6565.ZhuH.pdf)\|[Code](https://github.com/WolfberryCoke/BSA-Net) | 385 | | WACV
²⁰²² | ^`OCENet` | Modeling Aleatoric Uncertainty for Camouflaged Object Detection
^{_{*Jiawei Liu, Jing Zhang, Nick Barnes*}} | [Paper](https://openaccess.thecvf.com/content/WACV2022/papers/Liu_Modeling_Aleatoric_Uncertainty_for_Camouflaged_Object_Detection_WACV_2022_paper.pdf)\|[Code](https://github.com/Carlisle-Liu/OCENet) 386 | | ICME
²⁰²² | ^`PINet` | Finding the Achilles Heel: Progressive Identification Network for Camouflaged Object Detection
^{_{*Mu-Chun Chou, Hung-Jen Chen, Hong-Han Shuai*}} | [Paper](https://ieeexplore.ieee.org/abstract/document/9859854)\|[Code](https://github.com/michael861227/PINet) 387 | | -- | -- | -- | -- | 388 | | TPAMI
²⁰²² | ^`SINet-V2` | Concealed Object Detection _{![Static Badge](https://img.shields.io/badge/COD10K-grey)}
^{_{*Deng-Ping Fan, Ge-Peng Ji, Ming-Ming Cheng, Ling Shao*}} | [Paper](https://arxiv.org/abs/2102.10274)\|[Code](https://github.com/GewelsJI/SINet-V2) | 389 | | TIP
²⁰²² | ^`FAPNet` | Feature Aggregation and Propagation Network for Camouflaged Object Detection
^{_{*Tao Zhou, Yi Zhou, Chen Gong, Jian Yang, Yu Zhang*}} | [Paper](https://ieeexplore.ieee.org/abstract/document/9940173)\|[Code](https://github.com/taozh2017/FAPNet) 390 | | TIP
²⁰²² | ^`FindNet` | FindNet: Can You Find Me? Boundary-and-Texture Enhancement Network for Camouflaged Object Detection `BSA-Net Ext`
^{_{*Peng Li, Xuefeng Yan, Hongwei Zhu, Mingqiang Wei, Xiao-Ping Zhang, Jing Qin*}} | [Paper](https://ieeexplore.ieee.org/document/9923635/)\|Code 391 | | TIP
²⁰²² | ^`MGL_v2` | MGL: Mutual Graph Learning for Camouflaged Object Detection
^{_{*Qiang Zhai; Xin Li; Fan Yang; Zhicheng Jiao; Ping Luo; Hong Cheng; Zicheng Liu*}} | [Paper](https://ieeexplore.ieee.org/document/9962828)\|[Code](https://github.com/fanyang587/MGL) 392 | | TMM
²⁰²² | ^`DTC-Net` | Deep Texton-Coherence Network for Camouflaged Object Detection
^{_{*Wei Zhai, Yang Cao, HaiYong Xie, Zheng-Jun Zha*}} | [Paper](https://ieeexplore.ieee.org/abstract/document/9815160)\|Code 393 | | KBS
²⁰²² | ^`BgNet` | Boundary-guided network for camouflage object detection
^{_{*Tianyou Chen, Jin Xiao, Xiaoguang Hu, Guofeng Zhang, Shaojie Wang*}} | [Paper](https://www.sciencedirect.com/science/article/abs/pii/S0950705122004294)\|[Code](https://github.com/clelouch/BgNet) 394 | | PR
²⁰²² | ^`CubeNet` | CubeNet: X-shape connection for camouflaged object detection
^{_{*Mingchen Zhuge, Xiankai Lu, Yiyou Guo, Zhihua Cai, Shuhan Chen*}} | [Paper](https://www.sciencedirect.com/science/article/abs/pii/S003132032200125X?dgcid=raven_sd_recommender_email)\|[Code](https://github.com/mczhuge/CubeNet) 395 | | PR
²⁰²² | ^`ERRNet` | Fast Camouflaged Object Detection via Edge-based Reversible Re-calibration Network
^{_{*Ge-Peng Ji, Lei Zhu, Mingchen Zhuge, Keren Fu*}} | [Paper](https://arxiv.org/abs/2111.03216)\|[Code](https://github.com/GewelsJI/ERRNet) 396 | | TCSVT
²⁰²² | ^`C2FNet-V2` | Camouflaged Object Detection via Context-aware Cross-level Fusion
^{_{*Geng Chen, Si-Jie Liu, Yu-Jia Sun, Ge-Peng Ji, Ya-Feng Wu, Tao Zhou*}} | [Paper](https://arxiv.org/abs/2207.13362)\|[Code](https://github.com/Ben57882/C2FNet-TSCVT) 397 | | MIR
²⁰²² | ^`DGNet` | Deep Gradient Learning for Efficient Camouflaged Object Detection
^{_{*Ge-Peng Ji, Deng-Ping Fan, Yu-Cheng Chou, et al.*}} | [Paper](https://arxiv.org/abs/2205.12853)\|[Code](https://github.com/GewelsJI/DGNet) 398 | | TOMM
²⁰²² | ^`FBNet` | Frequency-aware Camouflaged Object Detection
^{_{*Jiaying Lin, Xin Tan, Ke Xu, Lizhuang Ma, Rynson W.H. Lau*}} | [Paper](https://dl.acm.org/doi/abs/10.1145/3545609)\|Code 399 | 400 |

401 | 402 | 403 |

404 |

2021

405 | 406 | | **Pub.** | **Model** | **Title** | **Links** | 407 | | :------: | :------: | :----------------------------------------------------------- | :----------------------------------------------------------- | 408 | | ICCV
²⁰²¹ | ^`UGTR` | Uncertainty-Guided Transformer Reasoning for Camouflaged Object Detection
^{_{*Fan Yang, Qiang Zhai, Xin Li, Rui Huang, et al.*}} | [Paper](https://openaccess.thecvf.com/content/ICCV2021/papers/Yang_Uncertainty-Guided_Transformer_Reasoning_for_Camouflaged_Object_Detection_ICCV_2021_paper.pdf)\|[Code](https://github.com/fanyang587/UGTR) | 409 | | CVPR
²⁰²¹ | ^`UJSCOD` | Uncertainty-aware Joint Salient Object and Camouflaged Object Detection
^{_{*Aixuan Li, Jing Zhang, Yunqiu Lv, Bowen Liu, Tong Zhang, Yuchao Dai*}} | [Paper](https://openaccess.thecvf.com/content/CVPR2021/html/Li_Uncertainty-Aware_Joint_Salient_Object_and_Camouflaged_Object_Detection_CVPR_2021_paper.html)\|[Code](https://github.com/JingZhang617/Joint_COD_SOD) | 410 | | CVPR
²⁰²¹ | ^`LSR` | Simultaneously Localize, Segment and Rank the Camouflaged Objects _{![Static Badge](https://img.shields.io/badge/NC4K-grey)}
^{_{*Yunqiu Lv, Jing Zhang, Yuchao Dai, Aixuan Li, et al.*}} | [Paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Lv_Simultaneously_Localize_Segment_and_Rank_the_Camouflaged_Objects_CVPR_2021_paper.pdf)\|[Code](https://github.com/JingZhang617/COD-Rank-Localize-and-Segment) | 411 | | CVPR
²⁰²¹ | ^`MGL` | Mutual Graph Learning for Camouflaged Object Detection
^{_{*Qiang Zhai, Xin Li, Fan Yang, Chenglizhao Chen, Hong Cheng, Deng-Ping Fan*}} | [Paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Zhai_Mutual_Graph_Learning_for_Camouflaged_Object_Detection_CVPR_2021_paper.pdf)\|[Code](https://github.com/fanyang587/MGL) | 412 | | CVPR
²⁰²¹ | ^`PFNet` | Camouflaged Object Segmentation with Distraction Mining
^{_{*Haiyang Mei, Ge-Peng Ji, Ziqi Wei, Xin Yang, Xiaopeng Wei, Deng-Ping Fan*}} | [Paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Mei_Camouflaged_Object_Segmentation_With_Distraction_Mining_CVPR_2021_paper.pdf)\|[Code](https://mhaiyang.github.io/CVPR2021_PFNet/index) | 413 | | IJCAI
²⁰²¹ | ^`C2FNet` | Context-aware Cross-level Fusion Network for Camouflaged Object Detection
^{_{*Yujia Sun, Geng Chen, Tao Zhou, Yi Zhang, Nian Liu*}} | [Paper](https://arxiv.org/abs/2105.12555)\|[Code](https://github.com/thograce/C2FNet) | 414 | | AAAI
²⁰²¹ | ^`TINet` | Inferring Camouflaged Objects by Texture-Aware Interactive Guidance Network
^{_{*Jinchao Zhu, Xiaoyu Zhang, Shuo Zhang, Junnan Liu*}} | [Paper](https://ojs.aaai.org/index.php/AAAI/article/view/16475)\|Code | 415 | | AAAI
²⁰²¹ | ^`-` | CamouFinder: Finding Camouflaged Instances in Images `Demo`
^{_{*Trung-Nghia Le, Vuong Nguyen, Cong Le, et al.*}} | [Paper](https://ojs.aaai.org/index.php/AAAI/article/view/18015)/[Video](https://www.youtube.com/watch?v=RI4nt5MDmwE&ab_channel=TrungNgh%C4%A9aL%C3%AA) 416 | | TIFS
²⁰²¹ | ^`TSPORTNet` | Integrating Part-Object Relationship and Contrast for Camouflaged Object Detection
^{_{*Yi Liu, Dingwen Zhang, Qiang Zhang, and Jungong Han*}} | [Paper](https://www.researchgate.net/profile/Yi-Liu-35/publication/355923462_Integrating_Part-Object_Relationship_and_Contrast_for_Camouflaged_Object_Detection/links/625cb1221c096a380d0c8f91/Integrating-Part-Object-Relationship-and-Contrast-for-Camouflaged-Object-Detection.pdf)\|[Code](https://github.com/liuyi1989/TSPORTNet) 417 | | TIE
²⁰²¹ | ^`D2C-Net` | D2C-Net: A Dual-branch, Dual-guidance and Cross-refine Network for Camouflaged Object Detection
^{_{*Kang Wang, Hongbo Bi, Yi Zhang, Cong Zhang, Ziqi Liu, Shuang Zheng*}} | [Paper](https://ieeexplore.ieee.org/document/9430677)\|[Code](https://github.com/MS-KangWang/COD-D2Net) 418 | | ACCESS
²⁰²¹ | ^`MirrorNet` | MirrorNet: Bio-Inspired Camouflaged Object Segmentation
^{_{*Jinnan Yan, Trung-Nghia Le, Khanh-Duy Nguyen, Minh-Triet Tran, Thanh-Toan Do, Tam V. Nguyen*}} | [Paper](https://arxiv.org/abs/2007.12881)\|[Proj](https://sites.google.com/view/ltnghia/research/camo) 419 | 420 |

421 | 422 | 423 |

424 |

Before 2020

425 | 426 | | **Pub.** | **Model** | **Title** | **Links** | 427 | | :------: | :------: | :----------------------------------------------------------- | :----------------------------------------------------------- | 428 | | CVPR
²⁰²⁰ | ^`SINet` | **Camouflaged Object Detection** _{![Static Badge](https://img.shields.io/badge/COD10K-grey)}
^{_{*Deng-Ping Fan, Ge-Peng Ji, Guolei Sun, Ming-Ming Cheng, Jianbing Shen, Ling Shao*}} | [Paper](https://openaccess.thecvf.com/content_CVPR_2020/papers/Fan_Camouflaged_Object_Detection_CVPR_2020_paper.pdf)\|[Code](https://github.com/DengPingFan/SINet) | 429 | | CVIU
²⁰¹⁹ | ^`ANet` | Anabranch network for camouflaged object segmentation _{![Static Badge](https://img.shields.io/badge/CAMO-grey)}
^{_{*Trung-Nghia Le, Tam V. Nguyen, Zhongliang Nie, Minh-Triet Tran, Akihiro Sugimoto*}} | [Paper](http://www.dgcv.nii.ac.jp/Publications/Papers/2019/cviu2019.pdf)\|[Code](https://sites.google.com/view/ltnghia/research/camo) 430 | | SPL
²⁰¹⁹ | ^`CPDDNet` | Detection of People With Camouflage Pattern Via Dense Deconvolution Network _{![Static Badge](https://img.shields.io/badge/CPD1K-grey)}
^{_{*Yunfei Zheng, Xiongwei Zhang, Feng Wang, Tieyong Cao, Meng Sun, Xiaobing Wang*}} | [Paper](https://ieeexplore.ieee.org/document/8336933)\|[Code](https://github.com/xfflyer/Camouflaged-people-detection) 431 | | TIP
²⁰¹⁸ | ^`FWFC` | A Fusion Framework for Camouflaged Moving Foreground Detection in the Wavelet Domain _{![Static Badge](https://img.shields.io/badge/CAMO_UOW-grey)}
^{_{*Shuai Li, Dinei Florencio, Wanqing Li, Yaqin Zhao, Chris Cook*}} | [Paper](https://arxiv.org/abs/1804.05984)\|[Code](https://sites.google.com/view/wanqingli/data-sets/uow-camo?authuser=0) | 432 | | IJCV
²⁰¹⁷ | ^`modiPNN` | Partially Camouflaged Object Tracking using Modified Probabilistic Neural Network and Fuzzy Energy based Active Contour
^{_{*Ajoy Mondal, Susmita Ghosh, Ashish Ghosh*}} | [Paper](https://link.springer.com/article/10.1007/s11263-016-0959-5)\|Code | 433 | 434 |

435 | 436 |

437 | 438 | 439 | -------------------------------------------------------------------------------------- 440 | 441 |

442 |

🎯 Video COD

443 | 444 | | **Year** | **Pub.** | **Model** | **Title** | **Links** | 445 | | :------: | :------: | :------: | :----------------------------------------------------------- | :----------------------------------------------------------- | 446 | | 2025 | arXiv | ^`--` | CamoVid60K: A Large-Scale Video Dataset for Moving Camouflaged Animals Understanding _{![Static Badge](https://img.shields.io/badge/CamoVid60K-grey)}
^{_{*Tuan-Anh Vu, Ziqiang Zheng, Chengyang Song, Qing Guo, Ivor Tsang, Sai-Kit Yeung*}} | [Paper](https://camovid.hkustvgd.com/)\|Code 447 | | 2025 | arXiv | ^`ZS-VCOS` | ZS-VCOS: Zero-Shot Video Camouflaged Object Segmentation By Optical Flow and Open Vocabulary Object Detection
^{_{*Wenqi Guo, Mohamed Shehata, Shan Du*}} | [Paper](https://arxiv.org/abs/2505.01431)\|[Code](https://github.com/weathon/vcos) 448 | | 2025 | arXiv | ^`--` | MSVCOD: A Large-Scale Multi-Scene Dataset for Video Camouflage Object Detection _{![Static Badge](https://img.shields.io/badge/MSVCOD-grey)}
^{_{*Shuyong Gao, Yu'ang Feng, Qishan Wang, Lingyi Hong, Xinyu Zhou, Liu Fei, Yan Wang, Wenqiang Zhang*}} | [Paper](https://arxiv.org/abs/2502.13859)\|Code 449 | | 2025 | NeurIPS | ^`CamSAM2` | CamSAM2: Segment Anything Accurately in Camouflaged Videos
^{_{*Yuli Zhou, Guolei Sun, Yawei Li, Yuqian Fu, Luca Benini, Ender Konukoglu*}} | [Paper](https://arxiv.org/abs/2503.19730)\|[Code](https://github.com/zhoustan/CamSAM2) 450 | | 2025 | ICCV | ^`SRR` | Scoring, Remember, and Reference: Catching Camouflaged Objects in Videos
^{_{*Yu'ang Feng, Shuyong Gao, Fuzhen Yan, Yicheng Song, Lingyi Hong, Junjie Hu, Wenqiang Zhang*}} | [Paper](https://openaccess.thecvf.com/content/ICCV2025/html/Feng_Scoring_Remember_and_Reference_Catching_Camouflaged_Objects_in_Videos_ICCV_2025_paper.html)\|Code | 451 | | 2025 | NN | ^`--` | Disentangled self-supervised video camouflaged object detection and salient object detection
^{_{*Haoke Xiao, Lv Tang, Bo Li, Zhiming Luo, Shaozi Li*}} | [Paper](https://www.sciencedirect.com/science/article/abs/pii/S0893608025009578?via%3Dihub)\|Code 452 | | 2025 | TIP | ^`EMIP` | Explicit Motion Handling and Interactive Prompting for Video Camouflaged Object Detection
^{_{*Xin Zhang, Tao Xiao, Gepeng Ji, Xuan Wu, Keren Fu, Qijun Zhao*}} | [Paper](https://arxiv.org/abs/2403.01968)\|[Code](https://github.com/zhangxin06/EMIP) 453 | | 2025 | VI | ^`SAM2-VCOS` | When SAM2 meets video camouflaged object segmentation: a comprehensive evaluation and adaptation
^{_{*Yuli Zhou, Guolei Sun, Yawei Li, Guo-Sen Xie, Luca Benini, Ender Konukoglu*}} | [Paper](https://link.springer.com/article/10.1007/s44267-025-00082-1)\|[Code](https://github.com/zhoustan/SAM2-VCOS) 454 | | 2024 | TPAMI | ^`ZoomNeXt` | ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection
^{_{*Youwei Pang, Xiaoqi Zhao, Tian-Zhu Xiang, Lihe Zhang, Huchuan Lu*}} | [Offl.](https://ieeexplore.ieee.org/document/10568374)\|[arXiv](https://arxiv.org/abs/2310.20208)\|
[Code](https://github.com/lartpang/ZoomNeXt) 455 | | 2024 | IJCV | ^`RCFF` | The Right Spin: Learning Object Motion from Rotation-Compensated Flow Fields
^{_{*Pia Bideau, Erik Learned-Miller, Cordelia Schmid, Karteek Alahari*}} | [Offl.](https://link.springer.com/article/10.1007/s11263-023-01859-x)\|[arXiv](https://arxiv.org/abs/2203.00115) 456 | | 2024 | TMM | ^`IMEX` | Implicit-Explicit Motion Learning for Video Camouflaged Object Detection
^{_{*Wenjun Hui; Zhenfeng Zhu; Guanghua Gu; Meiqin Liu; Yao Zhao*}} | [Paper](https://ieeexplore.ieee.org/abstract/document/10430451)\|Code 457 | | 2024 | CVPR | ^`TSP-SAM` | Endow SAM with Keen Eyes: Temporal-spatial Prompt Learning for Video Camouflaged Object Detection
^{_{*Wenjun Hui, Zhenfeng Zhu, Shuai Zheng, Yao Zhao*}} | [Paper](https://openaccess.thecvf.com/content/CVPR2024/html/Hui_Endow_SAM_with_Keen_Eyes_Temporal-spatial_Prompt_Learning_for_Video_CVPR_2024_paper.html)\|[Code](https://github.com/WenjunHui1/TSP-SAM) 458 | | 2024 | CVPRW | ^`SAM-PM`| SAM-PM: Enhancing Video Camouflaged Object Detection using Spatio-Temporal Attention
^{_{*Muhammad Nawfal Meeran, Gokul Adethya T, Bhanu Pratyush Mantha*}} | [Paper](https://openaccess.thecvf.com/content/CVPR2024W/PVUW/html/Meeran_SAM-PM_Enhancing_Video_Camouflaged_Object_Detection_using_Spatio-Temporal_Attention_CVPRW_2024_paper.html)\|[Code](https://github.com/SpiderNitt/SAM-PM) 459 | | 2024 | TCSVT | ^`STM` | A Weakly-supervised Cross-domain Query Framework for Video Camouflage Object Detection
^{_{*Zelin Lu; Liang Xie; Xing Zhao; Binwei Xu; Haoran Liang; Ronghua Liang*}} | [Paper](https://ieeexplore.ieee.org/abstract/document/10700777)\|Code 460 | | 2024 | ICASSP | ^`TMNet` | Tokenmotion: Motion-Guided Vision Transformer for Video Camouflaged Object Detection VIA Learnable Token Selection
^{_{*Zifan Yu; Erfan Bank Tavakoli; Meida Chen; Suya You; Raghuveer Rao; et al*}} | [Paper](https://ieeexplore.ieee.org/document/10447329)\|Code 461 | | 2023 | ICCV | ^`-` | The Making and Breaking of Camouflage
^{_{*Hala Lamdouar, Weidi Xie, Andrew Zisserman*}} | [Paper](https://arxiv.org/abs/2309.03899)\|[Code](https://github.com/hlamdouar/CAMEVAL) 462 | | 2022 | CVPR | ^`SLTNet` | Implicit Motion Handling for Video Camouflaged Object Detection _{![Static Badge](https://img.shields.io/badge/MoCA--Mask-grey)}
^{_{*Xuelian Cheng, Huan Xiong, Deng-Ping Fan, et al.*}} | [Paper](https://dengpingfan.github.io/papers/[2022][CVPR]VCOD_MoCA-Mask.pdf)\|[Code](https://github.com/XuelianCheng/SLT-Net) 463 | | 2022 | CVPR | ^`QSDI` | A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic Information
^{_{*Matthew Kowal, Mennatullah Siam, Md Amirul Islam, Neil D. B. Bruce, Richard P. Wildes, Konstantinos G. Derpanis*}} | [Offl.](https://openaccess.thecvf.com/content/CVPR2022/html/Kowal_A_Deeper_Dive_Into_What_Deep_Spatiotemporal_Networks_Encode_Quantifying_CVPR_2022_paper.html)\|[arXiv](https://arxiv.org/abs/2211.01783)\|
[Code](https://github.com/YorkUCVIL/Static-Dynamic-Interpretability/)\|[Proj](https://yorkucvil.github.io/Static-Dynamic-Interpretability/) 464 | | 2022 | NeurIPS | ^`OCLR` | Segmenting Moving Objects via an Object-Centric Layered Representation
^{_{*Junyu Xie, Weidi Xie, Andrew Zisserman*}} | [Paper](https://proceedings.neurips.cc/paper_files/paper/2022/file/b37aa1d677970f2f56d0d17410c52b3b-Paper-Conference.pdf)\|[Code](https://github.com/Jyxarthur/OCLR_model) 465 | | 2022 | TPAMI | ^`-` | EM-driven unsupervised learning for efficient motion segmentation
^{_{*Etienne Meunier, Anaïs Badoual, Patrick Bouthemy*}} | [Paper](https://arxiv.org/abs/2201.02074)\|[Code](https://github.com/Etienne-Meunier-Inria/EM-Flow-Segmentation) 466 | | 2021 | ICCV | ^`MG` | Self-supervised Video Object Segmentation by Motion Grouping
^{_{*Charig Yang, Hala Lamdouar, Erika Lu, Andrew Zisserman, Weidi Xie*}} | [Paper](https://openaccess.thecvf.com/content/ICCV2021/html/Yang_Self-Supervised_Video_Object_Segmentation_by_Motion_Grouping_ICCV_2021_paper.html)\|[Code](https://charigyang.github.io/motiongroup/)\|
[Proj](https://charigyang.github.io/motiongroup/) 467 | | 2021 | BMVC | ^`SIMO` | Segmenting Invisible Moving Objects
^{_{*Hala Lamdouar, Weidi Xie, Andrew Zisserman*}} | [Paper](https://www.bmvc2021-virtualconference.com/assets/papers/0056.pdf)\|[Proj](https://www.robots.ox.ac.uk/~vgg/research/simo/) 468 | | 2020 | ACCV | ^`-` | Betrayed by Motion: Camouflaged Object Discovery via Motion Segmentation _{![Static Badge](https://img.shields.io/badge/MoCA-grey)}
^{_{*Hala Lamdouar, Charig Yang, Weidi Xie, Andrew Zisserman*}} | [Paper](https://arxiv.org/abs/2011.11630)\|[Code](https://github.com/hlamdouar/MoCA/)\|
[Data](https://www.robots.ox.ac.uk/~vgg/data/MoCA/) 469 | | 2018 | TIP | ^`FWFC` | A Fusion Framework for Camouflaged Moving Foreground Detection in the Wavelet Domain _{![Static Badge](https://img.shields.io/badge/CAMO_UOW-grey)}
^{_{*Shuai Li, Dinei Florencio, Wanqing Li, Yaqin Zhao, Chris Cook*}} | [Paper](https://arxiv.org/abs/1804.05984)\|[Code](https://sites.google.com/view/wanqingli/data-sets/uow-camo?authuser=0) | 470 | | 2017 | IJCV | ^`modiPNN` | Partially Camouflaged Object Tracking using Modified Probabilistic Neural Network and Fuzzy Energy based Active Contour
^{_{*Ajoy Mondal, Susmita Ghosh, Ashish Ghosh*}} | [Paper](https://link.springer.com/article/10.1007/s11263-016-0959-5)\|Code | 471 | | 2016 | ECCV | ^`--` | It’s Moving! A Probabilistic Model for Causal Motion Segmentation in Moving Camera Videos _{![Static Badge](https://img.shields.io/badge/Camouflaged--Animal--Dataset-grey)}
^{_{*Pia Bideau, Erik Learned-Miller*}} | [Paper](https://link.springer.com/chapter/10.1007/978-3-319-46484-8_26)\|[Code](https://www.user.tu-berlin.de/pbideau/motionSegmentation/index.html) 472 | 473 |

474 | 475 | 476 | -------------------------------------------------------------------------------------- 477 | 478 |

479 |

🎯 Camouflaged Instance Segmentation (CIS)

480 | 481 | | **Year** | **Pub.** | **Model** | **Title** | **Links** | 482 | | :------: | :------: | :------: | :----------------------------------------------------------- | :----------------------------------------------------------- | 483 | | 2024 | MM | ^`TPNet` | Text-prompt Camouflaged Instance Segmentation with Graduated Camouflage Learning
^{_{*Zhentao He, Changqun Xia, Shengye Qiao, Jia Li*}} | [Paper](https://dl.acm.org/doi/10.1145/3664647.3681132)\|[Code](https://github.com/zertow/TPNet) 484 | | 2024 | MM | ^`AQSFormer` | Adaptive Query Selection for Camouflaged Instance Segmentation
^{_{*Bo Dong, Pichao Wang, Hao Luo, Fan Wang*}} | [Paper](https://dl.acm.org/doi/10.1145/3664647.3680749)\|Code 485 | | 2024 | ApplInt | ^`MSPNet` | Multi-scale pooling learning for camouflaged instance segmentation
^{_{*Chen Li, Ge Jiao, Guowen Yue, Rong He & Jiayu Huang*}} | [Paper](https://link.springer.com/article/10.1007/s10489-024-05369-2)\|[Code](https://github.com/another-u/MSPNet-main) 486 | | 2023 | MM | ^`UQFormer` | A Unified Query-based Paradigm for Camouflaged Instance Segmentation
^{_{*Do Dong, Jialun Pei, Rongrong Gao, Tian-Zhu Xiang, Shuo Wang, Huan Xiong*}} | [Paper](https://arxiv.org/abs/2308.07392)\|[Code](https://github.com/dongbo811/UQFormer) 487 | | 2023 | CVPR | ^`DCNet` | Camouflaged Instance Segmentation via Explicit De-camouflaging
^{_{*Naisong Luo, Yuwen Pan, Rui Sun, Tianzhu Zhang, Zhiwei Xiong, Feng Wu*}} | [Paper](https://openaccess.thecvf.com/content/CVPR2023/papers/Luo_Camouflaged_Instance_Segmentation_via_Explicit_De-Camouflaging_CVPR_2023_paper.pdf)\|[Code](https://github.com/USTCL/DCNet) 488 | | 2023 | arXiv | ^`-` | Leveraging Open-Vocabulary Diffusion to Camouflaged Instance Segmentation
^{_{*Tuan-Anh Vu, Duc Thanh Nguyen, Qing Guo, Binh-Son Hua, Nhat Minh Chung, Ivor W. Tsang, Sai-Kit Yeung*}} | [Paper](https://arxiv.org/abs/2312.17505)\|Code 489 | | 2022 | ECCV | ^`OSFormer` | OSFormer: One-Stage Camouflaged Instance Segmentation with Transformers
^{_{*Jialun Pei, Tianyang Cheng, Deng-Ping Fan, et al.*}} | [Paper](https://arxiv.org/abs/2207.02255)\|[Code](https://github.com/PJLallen/OSFormer) 490 | | 2022 | TIP | ^`CFL` | Camouflaged Instance Segmentation In-The-Wild: Dataset, Method, and Benchmark Suite _{![Static Badge](https://img.shields.io/badge/CAMO++-grey)}
^{_{*Trung-Nghia Le, Yubo Cao, Tan-Cong Nguyen, et al.*}} | [Paper](https://arxiv.org/abs/2103.17123)\|[Proj](https://sites.google.com/view/ltnghia/research/camo_plus_plus) 491 | | 2021 | AAAI | ^`-` | CamouFinder: Finding Camouflaged Instances in Images `Demo`
^{_{*Trung-Nghia Le, Vuong Nguyen, Cong Le, et al.*}} | [Paper](https://ojs.aaai.org/index.php/AAAI/article/view/18015)\|[Video](https://www.youtube.com/watch?v=RI4nt5MDmwE&ab_channel=TrungNgh%C4%A9aL%C3%AA) 492 | 493 |

494 | 495 | 496 | -------------------------------------------------------------------------------------- 497 | 498 |

499 |

🎯 Weakly-Supervised COD

500 | 501 | | **Year** | **Pub.** | **Model** | **Title** | **Links** | 502 | | :------: | :------: | :------: | :----------------------------------------------------------- | :----------------------------------------------------------- | 503 | | 2025 | TBD | ^`SAM-RNet` | Weakly-supervised Camouflaged Object Detection via SAM-guided Resolution Iteration Learning
^{_{*Y Ge, Y Zhong, Q Zhang, H Bi, T-Z Xiang*}} | [Paper](https://ieeexplore.ieee.org/document/11216034)\|[Code](https://github.com/ZX123445/SAM-RNet) 504 | | 2025 | ACM MM | ^`PRLNet` | Progressive Representation Learning for Weakly-Supervised Camouflaged Object Detection
^{_{*Shuyong Gao, Qianyu Guo, Yu'ang Feng, Chunyuan Chen, Xujun Wei, Yan Wang, Wenqiang Zhang*}} | [Paper](https://dl.acm.org/doi/abs/10.1145/3746027.3754737)\|[Code](https://github.com/shuyonggao/PRLNet) | 505 | | 2025 | PAMI | ^`SEE` | Segment Concealed Objects with Incomplete Supervision
^{_{*Chunming He, Kai Li, Yachao Zhang, Ziyun Yang, Youwei Pang, Longxiang Tang, Chengyu Fang, Yulun Zhang, Linghe Kong, Xiu Li, Sina Farsiu*}} | [Paper](https://arxiv.org/abs/2506.08955)\|[Code](https://github.com/ChunmingHe/SEE) 506 | | 2025 | TIP | ^`MSST` | UpGen: Unleashing Potential of Foundation Models for Training-Free Camouflage Detection via Generative Models
^{_{*Ji Du; Jiesheng Wu; Desheng Kong; Weiyun Liang; Fangwei Hao; Jing Xu; Bin Wang; Guiling Wang; Ping Li*}} | [Paper](https://ieeexplore.ieee.org/abstract/document/11131534)\|Code 507 | | 2025 | ECAI | ^`FCT-SAM` | Scribble-based Weakly Supervised Camouflaged Object Detection via SAM-guided Feature Correlation Transformer
^{_{*Zi-Jie Wu, Rongrong Gao and Tian-Zhu Xiang*}} | [Paper](https://ebooks.iospress.nl/volumearticle/75733)\|[Code](https://github.com/farewellIamLoser/FCT-SAM-WSCOD) 508 | | 2025 | NN | ^`LRDNet` | Long-range diffusion for weakly camouflaged object segmentation
^{_{*Rui Wang, Caijuan Shi, Weixiang Gao, Changyu Duan, Ao Cai, Fei Yu, Yunchao Wei*}} | [Paper](https://www.sciencedirect.com/science/article/abs/pii/S0893608025007968)\|[Code](https://github.com/Ray3417/LRDNet) 509 | | 2025 | KBS | ^`PPL` | Weakly supervised camouflaged object detection as Progressive Perception Learning
^{_{*Tianxin Han, Xingwei Wang, Qing Dong, Min Huang, Jie Jia, Fu Zhang*}} | [Paper](https://www.sciencedirect.com/science/article/abs/pii/S095070512501038X)\|[Code](https://github.com/NGI-vision/PPL) 510 | | 2025 | TCSVT | ^`SAM-COD+` | SAM-COD+: SAM-Guided Unified Framework for Weakly-Supervised Camouflaged Object Detection
^{_{*Huafeng Chen; Pengxu Wei; Guangqian Guo; Shan Gao*}} | [Paper](https://ieeexplore.ieee.org/document/10789225)\|Code 511 | | 2025 | CVIU | ^`SCNet` | Adaptive context mining for camouflaged object detection with scribble supervision
^{_{*Dongdong Zhang, Chunping Wang, Huiying Wang, Qiang Fu, Zhaorui Li*}} | [Paper](https://www.sciencedirect.com/science/article/abs/pii/S1077314225001535)\|[Code](https://github.com/zcc0616/SCNet) 512 | | 2024 | MM | ^`MiNet` | MiNet: Weakly-Supervised Camouflaged Object Detection through Mutual Interaction between Region and Edge Cues
^{_{*Yuzhen Niu, Lifen Yang, Rui Xu, Yuezhou Li, Yuzhong Chen*}} | [Paper](https://dl.acm.org/doi/10.1145/3664647.3680891)\|Code 513 | | 2024 | ECCV | ^`WSSCOD` | Learning Camouflaged Object Detection from Noisy Pseudo Label `WSS COD`
^{_{*Jin Zhang, Ruiheng Zhang, Yanjiao Shi, Zhe Cao, Nian Liu, Fahad Shahbaz Khan*}} | [Paper](https://arxiv.org/abs/2407.13157)\|Code 514 | | 2024 | ECCV | ^`SAM-COD` | SAM-COD: SAM-guided Unified Framework for Weakly-Supervised Camouflaged Object Detection
^{_{*Huafeng Chen, Pengxu Wei, Guangqian Guo, Shan Gao*}} | [Paper](https://www.arxiv.org/abs/2408.10760)\|[Code](https://github.com/2231122/SAM-COD) 515 | | 2024 | ECCV | ^`-` | Just a Hint: Point-Supervised Camouflaged Object Detection `Point` _{![Static Badge](https://img.shields.io/badge/P--COD-grey)}
^{_{*Huafeng Chen, Dian Shao, Guangqian Guo, Shan Gao*}} | [Paper](https://arxiv.org/abs/2408.10777v1)\|[Code](https://github.com/2231122/PCOD) 516 | | 2023 | NeurIPS | ^`WS-SAM` | Weakly-Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Multi-scale Feature Grouping
^{_{*Chunming He, Kai Li, Yachao Zhang, Guoxia Xu, Longxiang Tang, Yulun Zhang, Zhenhua Guo, Xiu Li*}} | [Paper](https://arxiv.org/abs/2305.11003)\|[Code](https://github.com/ChunmingHe/WS-SAM) 517 | | 2023 | AAAI | ^`CRNet` | Weakly-Supervised Camouflaged Object Detection with Scribble Annotations `Scribble` _{![Static Badge](https://img.shields.io/badge/S--COD-grey)}
^{_{*Ruozhen He, Qihua Dong, Jiaying Lin, Rynson W.H. Lau*}} | [Paper](https://ojs.aaai.org/index.php/AAAI/article/view/25156)\|[Code](https://github.com/dddraxxx/Weakly-Supervised-Camouflaged-Object-Detection-with-Scribble-Annotations) 518 | 519 |

520 | 521 | 522 | -------------------------------------------------------------------------------------- 523 | 524 |

525 |

🎯 Semi-supervised COD

526 | 527 | | **Year** | **Pub.** | **Model** | **Title** | **Links** | 528 | | :------: | :------: | :------: | :----------------------------------------------------------- | :----------------------------------------------------------- | 529 | | 2025 | PAMI | ^`SEE` | Segment Concealed Objects with Incomplete Supervision
^{_{*Chunming He, Kai Li, Yachao Zhang, Ziyun Yang, Youwei Pang, Longxiang Tang, Chengyu Fang, Yulun Zhang, Linghe Kong, Xiu Li, Sina Farsiu*}} | [Paper](https://arxiv.org/abs/2506.08955)\|[Code](https://github.com/ChunmingHe/SEE) 530 | | 2025 | ACMMM | ^`ST-SAM` | ST-SAM: SAM-Driven Self-Training Framework for Semi-Supervised Camouflaged Object Detection
^{_{*Xihang Hu, Fuming Sun, Jiazhe Liu, Feilong Xu, Xiaoli Zhang*}} | [Paper](https://arxiv.org/abs/2507.23307)\|[Code](https://github.com/hu-xh/ST-SAM) 531 | | 2025 | ICASSP | ^`SILNet` | Semi-supervised Iterative Learning Network for Camouflaged Object Detection
^{_{*Guowen Yue; Ge Jiao; Jiahao Xiang*}} | [Paper](https://ieeexplore.ieee.org/document/10890224)\|Code 532 | | 2024 | ACMMM | ^`-` | Semi-supervised Camouflaged Object Detection from Noisy Data `SS COD`
^{_{*Yuanbin Fu, Jie Ying, Houlei Lv, Xiaojie Guo*}} | [Paper](https://dl.acm.org/doi/abs/10.1145/3664647.3680645)\|Code 533 | | 2024 | ECCV | ^{`CamoTeacher`} | CamoTeacher: Dual-Rotation Consistency Learning for Semi-Supervised Camouflaged Object Detection
^{_{*Xunfa Lai, Zhiyu Yang, Jie Hu, Shengchuan Zhang, Liujuan Cao, Guannan Jiang, Zhiyu Wang, Songan Zhang, Rongrong Ji*}} | [Paper](https://arxiv.org/abs/2408.08050)\|Code 534 | | 2024 | ECCV | ^`WSSCOD` | Learning Camouflaged Object Detection from Noisy Pseudo Label `WSSCOD`
^{_{*Jin Zhang, Ruiheng Zhang, Yanjiao Shi, Zhe Cao, Nian Liu, Fahad Shahbaz Khan*}} | [Paper](https://arxiv.org/abs/2407.13157)\|[Code](https://github.com/zhangjinCV/Noisy-COD) 535 | 536 |

537 | 538 | 539 | -------------------------------------------------------------------------------------- 540 | 541 |

542 |

🎯 Unsupervised COD

543 | 544 | | **Year** | **Pub.** | **Model** | **Title** | **Links** | 545 | | :------: | :------: | :------: | :----------------------------------------------------------- | :----------------------------------------------------------- | 546 | | 2025 | ICCV | ^`RISE` | Beyond Single Images: Retrieval Self-Augmented Unsupervised Camouflaged Object Detection
^{_{*Ji Du, Xin Wang, Fangwei Hao, Mingyang Yu, Chunyuan Chen, Jiesheng Wu, Bin Wang, Jing Xu, Ping Li*}} | [Paper](https://openaccess.thecvf.com/content/ICCV2025/html/Du_Beyond_Single_Images_Retrieval_Self-Augmented_Unsupervised_Camouflaged_Object_Detection_ICCV_2025_paper.html)\|[Code](https://github.com/xiaohainku/RISE) | 547 | | 2025 | CVPR | ^`UCOD-DPL` | UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning
^{_{*Weiqi Yan, Lvhai Chen, Huaijia Kou, Shengchuan Zhang, Yan Zhang, Liujuan Cao*}} | [Paper](https://openaccess.thecvf.com/content/CVPR2025/html/Yan_UCOD-DPL_Unsupervised_Camouflaged_Object_Detection_via_Dynamic_Pseudo-label_Learning_CVPR_2025_paper.html)\|[Code](https://github.com/Heartfirey/UCOD-DPL) 548 | | 2025 | CVPR | ^`EASE` | Shift the Lens: Environment-Aware Unsupervised Camouflaged Object Detection
^{_{*Ji Du, Fangwei Hao, Mingyang Yu, Desheng Kong, Jiesheng Wu, Bin Wang, Jing Xu, Ping Li*}} | [Paper](https://openaccess.thecvf.com/content/CVPR2025/html/Du_Shift_the_Lens_Environment-Aware_Unsupervised_Camouflaged_Object_Detection_CVPR_2025_paper.html)\|[Code](https://github.com/xiaohainku/EASE) 549 | | 2025 | AAAI | ^`SdalsNet` | SdalsNet: Self-Distilled Attention Localization and Shift Network for Unsupervised Camouflaged Object Detection
^{_{*Peiyao Shou, Yixiu Liu, Wei Wang, Yaoqi Sun, Zhigao Zheng, Shangdong Zhu, Chenggang Yan*}} | [Paper](https://ojs.aaai.org/index.php/AAAI/article/view/32742)\|Code 550 | | 2023 | ICCVW | ^`UCOS-DA` | Unsupervised Camouflaged Object Segmentation as Domain Adaptation
^{_{*Yi Zhang; Chengyi Wu*}} | [Paper](https://openaccess.thecvf.com/content/ICCV2023W/OODCV/html/Zhang_Unsupervised_Camouflaged_Object_Segmentation_as_Domain_Adaptation_ICCVW_2023_paper.html)\|[Code](https://github.com/YeeZ93/UCOS-DA) 551 | 552 |

553 | 554 | 555 | -------------------------------------------------------------------------------------- 556 | 557 |

558 |

🎯 Zero-Shot COD

559 | 560 | | **Year** | **Pub.** | **Model** | **Title** | **Links** | 561 | | :------: | :------: | :------: | :----------------------------------------------------------- | :----------------------------------------------------------- | 562 | | 2025 | TPAMI | ^`CaMF` | Towards Real Zero-Shot Camouflaged Object Segmentation without Camouflaged Annotations
^{_{*Cheng Lei, Jie Fan, Xinran Li, Tian-Zhu Xiang, Ao Li, Ce Zhu, Le Zhang*}} | [Paper](https://arxiv.org/abs/2410.16953)\|[Code](https://github.com/R-LEI360725/ZSCOS-CaMF) 563 | | 2025 | ACMMM | ^`--` | From Language to Instance: Generative Visual Prompting for Zero-shot Camouflaged Object Detection
^{_{*Zihou Zhang, Hao Li, Zhengwei Yang, Zechao Hu, Liang Li, Zheng Wang*}} | [Paper](https://dl.acm.org/doi/10.1145/3746027.3755212)\|Code 564 | | 2024 | ACMMM | ^`MMCPF` | Chain of Visual Perception: Harnessing Multimodal Large Language Models for Zero-shot Camouflaged Object Detection
^{_{*Lv Tang, Peng-Tao Jiang, Zhihao Shen, Hao Zhang, Jinwei Chen, Bo Li*}} | [Paper](https://arxiv.org/abs/2311.11273)\|[Code](https://github.com/luckybird1994/MMCPF) 565 | | 2023 | TIP | ^`ZSCOD` | Zero-Shot Camouflaged Object Detection
^{_{*Haoran Li; Chun-Mei Feng; Yong Xu; Tao Zhou; Lina Yao; Xiaojun Chang*}} | [Paper](https://ieeexplore.ieee.org/abstract/document/10234216)\|Code 566 | 567 |

568 | 569 | 570 | -------------------------------------------------------------------------------------- 571 | 572 |

573 |

🎯 Referring COD

574 | 575 | | **Year** | **Pub.** | **Model** | **Title** | **Links** | 576 | | :------: | :------: | :------: | :----------------------------------------------------------- | :----------------------------------------------------------- | 577 | | -- | arXiv | ^`MLKG` | Large Model Based Referring Camouflaged Object Detection
^{_{*Shupeng Cheng, Ge-Peng Ji, Pengda Qin, Deng-Ping Fan, Bowen Zhou, Peng Xu*}} | [Paper](https://arxiv.org/abs/2311.17122)\|Code 578 | | 2025 | TIP | ^`UAT` | Uncertainty-Aware Transformer for Referring Camouflaged Object Detection
^{_{*Ranwan Wu, Tian-Zhu Xiang, Guo-Sen Xie, Rongrong Gao, Xiangbo Shu, Fang Zhao, Ling Shao*}} | [Paper](https://ieeexplore.ieee.org/abstract/document/11080234)\|[Code](https://github.com/CVL-hub/UAT) 579 | | 2025 | WACV | ^`CIRCOD` | CIRCOD: Co-Saliency Inspired Referring Camouflaged Object Discovery
^{_{*Avi Gupta; Koteswar Rao Jerripothula; Tammam Tillo*}} | [Paper](https://www.computer.org/csdl/proceedings-article/wacv/2025/108300i320/25KnoFtUNIA)\|[Code](https://github.com/avigupta2798/CIRCOD/) 580 | | 2025 | TPAMI | ^`R2CNet` | Referring Camouflaged Object Detection _{![Static Badge](https://img.shields.io/badge/R2C7K-grey)}
^{_{*Xuying Zhang, Bowen Yin, Zheng Lin, Qibin Hou, Deng-Ping Fan, Ming-Ming Cheng*}} | [Paper](https://arxiv.org/abs/2306.07532)\|[Code](https://github.com/zhangxuying1004/RefCOD) 581 | | 2024 | ICME | ^`RPMA` | Reference Prompted Model Adaptation for Referring Camouflaged Object Detection
^{_{*Xuewei Liu; Shaofei Huang; Ruipu Wu; Hengyuan Zhao; Duo Xu; Xiaoming Wei, Jizhong Han, Si Liu*}} | [Paper](https://ieeexplore.ieee.org/abstract/document/10687557)\|Code 582 | 583 |

584 | 585 | 586 | -------------------------------------------------------------------------------------- 587 | 588 |

589 |

🎯 Open-Vocabulary COS

590 | 591 | | **Year** | **Pub.** | **Model** | **Title** | **Links** | 592 | | :------: | :------: | :------: | :----------------------------------------------------------- | :----------------------------------------------------------- | 593 | | 2025 | ICCV | ^`SuCLIP` | Seeing the Unseen: A Semantic Alignment and Context-Aware Prompt Framework for Open-Vocabulary Camouflaged Object Segmentation
^{_{*Peng Ren, Tian Bai, Jing Sun, Fuming Sun*}} | [Paper](https://openaccess.thecvf.com/content/ICCV2025/html/Ren_Seeing_the_Unseen_A_Semantic_Alignment_and_Context-Aware_Prompt_Framework_ICCV_2025_paper.html)\|Code | 594 | | 2024 | ECCV | ^`OVCoser` | Open-Vocabulary Camouflaged Object Segmentation _{![Static Badge](https://img.shields.io/badge/OVCamo-grey)}
^{_{*Youwei Pang, Xiaoqi Zhao, Jiaming Zuo, Lihe Zhang, Huchuan Lu*}} | [Paper](https://arxiv.org/abs/2311.11241)\|[Code](https://github.com/lartpang/OVCamo) | 595 | | 2023 | arXiv | ^`-` | Leveraging Open-Vocabulary Diffusion to Camouflaged Instance Segmentation
^{_{*Tuan-Anh Vu, Duc Thanh Nguyen, Qing Guo, Binh-Son Hua, Nhat Minh Chung, Ivor W. Tsang, Sai-Kit Yeung*}} | [Paper](https://arxiv.org/abs/2312.17505)\|Code | 596 | 597 |

598 | 599 | 600 | -------------------------------------------------------------------------------------- 601 | 602 |

603 |

🎯 VLM in COS

604 | 605 | | **Year** | **Pub.** | **Model** | **Title** | **Links** | 606 | | :------: | :------: | :------: | :----------------------------------------------------------- | :----------------------------------------------------------- | 607 | | 2025 | NeurIPS | ^`MMCSBench` | MMCSBench: A Fine-Grained Benchmark for Large Vision-Language Models in Camouflage Scenes
^{_{*Jin Zhang, Ruiheng Zhang, Zhe Cao, Kaizheng Chen*}} | [Paper](https://neurips.cc/virtual/2025/poster/121542)\|Code 608 | 609 |

610 | 611 | 612 | -------------------------------------------------------------------------------------- 613 | 614 |

615 |

🎯 RGB-Polarization COD

616 | 617 | | **Year** | **Pub.** | **Model** | **Title** | **Links** | 618 | | :------: | :------: | :------: | :----------------------------------------------------------- | :----------------------------------------------------------- | 619 | | 2025 | EAAI | ^`HIPFNet` | Polarization-based Camouflaged Object Detection with high-resolution adaptive fusion Network
^{_{*Xin Wang, Junfeng Xu, Jiajia Ding*}} | [Paper](https://www.sciencedirect.com/science/article/abs/pii/S0952197625002453)\|[Code](https://github.com/CVhfut/HIPFNet) 620 | | 2024 | EAAI | ^`IPNet` | IPNet: Polarization-based Camouflaged Object Detection via dual-flow network _{![Static Badge](https://img.shields.io/badge/PCOD_1200-grey)}
^{_{*Xin Wang, Jiajia Ding, Zhao Zhang, Junfeng Xu, Jun Gao*}} | [Paper](https://www.sciencedirect.com/science/article/abs/pii/S0952197623014872)\|[Code](https://github.com/CVhfut/PCOD_1200) 621 | | 2023 | PRL | ^`PolarNet` | Polarization-based Camouflaged Object Detection _{![Static Badge](https://img.shields.io/badge/PCOD-grey)}
^{_{*Xin Wang, Zhao Zhang, Jun Gao*}} | [Paper](https://www.sciencedirect.com/science/article/abs/pii/S0167865523002532)\|[Code](https://github.com/CVhfut/Polar-COD) 622 | 623 |

624 | 625 | 626 | -------------------------------------------------------------------------------------- 627 | 628 |

629 |

🎯 MMW COD

630 | 631 | | **Year** | **Pub.** | **Model** | **Title** | **Links** | 632 | | :------: | :------: | :------: | :----------------------------------------------------------- | :----------------------------------------------------------- | 633 | | 2025 | TII | ^`CKID-Net` | Collaborative Knowledge Injection for Concealed Object Detection in MMW Human Inspection
^{_{*Xinlin Wang; Nuo Tong; Shuiping Gou; Shasha Mao*}} | [Paper](https://ieeexplore.ieee.org/document/10979382)\|Code 634 | 635 |

636 | 637 | 638 | -------------------------------------------------------------------------------------- 639 | 640 |

641 |

🎯 Camouflage Generation

642 | 643 | | **Year** | **Pub.** | **Model** | **Title** | **Links** | 644 | | :------: | :------: | :------: | :----------------------------------------------------------- | :----------------------------------------------------------- | 645 | | 2025 | CVPR | ^`CO+RE-BG` | Camouflage Anything: Learning to Hide using Controlled Out-painting and Representation Engineering
^{_{*Biplab Das, Viswanath Gopalakrishnan*}} | [Paper](https://openaccess.thecvf.com/content/CVPR2025/html/Das_Camouflage_Anything_Learning_to_Hide_using_Controlled_Out-painting_and_Representation_CVPR_2025_paper.html)\|Code 646 | | 2024 | CVPR | ^`LAKE-RED` | LAKE-RED: Camouflaged Images Generation by Latent Background Knowledge Retrieval-Augmented Diffusion
^{_{*Pancheng Zhao, Peng Xu, Pengda Qin, Deng-Ping Fan, Zhicheng Zhang, Guoli Jia, Bowen Zhou, Jufeng Yang*}} | [Paper](https://arxiv.org/abs/2404.00292)\|[Code](https://github.com/PanchengZhao/LAKE-RED) 647 | | 2023 | AIR | ^`CamDiff` | CamDiff: Camouflage Image Augmentation via Diffusion Model
^{_{*Xue-Jing Luo, Shuo Wang, Zongwei Wu, Christos Sakaridis, Yun Cheng, Deng-Ping Fan, Luc Van Gool*}} | [Paper](https://arxiv.org/abs/2304.05469)\|[Code](https://github.com/drlxj/CamDiff) 648 | | 2022 | CVPR | ^{`GANmouflage`} | GANmouflage: 3D Object Nondetection with Texture Fields
^{_{*Rui Guo, Jasmine Collins, Oscar de Lima, Andrew Owens*}} | [Paper](https://arxiv.org/abs/2201.07202)\|[Proj](https://rrrrrguo.github.io/ganmouflage/) 649 | | 2022 | TMM | ^`LCG-Net` | Location-Free Camouflage Generation Network
^{_{*Yangyang Li, Wei Zhai, Yang Cao, Zheng-jun Zha*}} | [Paper](https://arxiv.org/abs/2203.09845)\|[Code](https://github.com/Tale17/LCG-Net) 650 | | 2020 | AAAI | ^`-` | Deep Camouflage Images
^{_{*Qing Zhang, Gelin Yin, Yongwei Nie, Wei-Shi Zheng*}} | [Paper](https://ojs.aaai.org//index.php/AAAI/article/view/6981)\|[Code](https://github.com/hirokic5/Pytorch_CamouflageImages) | 651 | 652 |

653 | 654 | 655 | -------------------------------------------------------------------------------------- 656 | 657 |

658 |

🎯 Camouflaged Object Tracking (COT)

659 | 660 | | **Year** | **Pub.** | **Model** | **Title** | **Links** | 661 | | :------: | :------: | :------: | :----------------------------------------------------------- | :----------------------------------------------------------- | 662 | | 2025 | ACMMM DS | ^{`HiPTrack-MLS`} | Camouflaged Object Tracking: A Benchmark _{![Static Badge](https://img.shields.io/badge/COTD-grey)}
^{_{*Xiaoyu Guo, Pengzhi Zhong, Hao Zhang, Defeng Huang, Huikai Shao, Qijun Zhao, Shuiwang Li*}} | [Paper](https://arxiv.org/abs/2408.13877)\|[Code](https://github.com/openat25/HIPTrack-MLS) 663 | 664 |

665 | 666 | 667 | -------------------------------------------------------------------------------------- 668 | 669 |

670 |

🎯 Multi-Spectral COD

671 | 672 | ^{(Multi-/Hyper-) Spectral COD} 673 | 674 | | **Year** | **Pub.** | **Model** | **Title** | **Links** | 675 | | :------: | :------: | :------: | :----------------------------------------------------------- | :----------------------------------------------------------- | 676 | | 2025 | ACMMM DS | ^`MCOD` | MCOD: The First Challenging Benchmark for Multispectral Camouflaged Object Detection _{![Static Badge](https://img.shields.io/badge/MCOD-grey)}
^{_{*Yang Li, Tingfa Xu, ShuYan Bai, Peifu Liu, Jianan Li*}} | [Paper](https://arxiv.org/abs/2509.15753)\|[Code](https://github.com/yl2900260-bit/MCOD) 677 | 678 |

679 | 680 | 681 | -------------------------------------------------------------------------------------- 682 | 683 |

684 |

685 | 686 | | **Year** | **Pub.** | **Model** | **Title** | **Links** | 687 | | :------: | :------: | :------: | :----------------------------------------------------------- | :----------------------------------------------------------- | 688 | | 2022 | CVPR | ^`DTA` | DTA: Physical Camouflage Attacks using Differentiable Transformation Network
^{_{*Naufal Suryanto, Yongsu Kim, Hyoeun Kang, et al.*}} | [Paper](https://arxiv.org/abs/2203.09831)\|Code 689 | 690 |

691 | 692 | 693 | 694 | -------------------------------------------------------------------------------------- 695 | 696 | 697 |

📊 Datasets

698 | 699 | ^{Note: Ann. Img. = Number of frames annotated in the dataset; BBbox = Bounding box; Pix. = Pixel-level mask; Ins. = Instance mask; Cate. = Category.} 700 | 701 | #### - Image COD 702 | 703 | | **Name** | **Year** | **Pub.** | **Links** | **Type** | **Img.(Camo.)** | **BBbox** | **Pix.** | **Ins.** | **Comments** 704 | | :------: | :------: | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | 705 | [USC12K](https://github.com/ssecv/USCNet) | 2025 | ICCV | [Paper](https://arxiv.org/abs/2412.10943) | Img | 12000 | | ✓ | | ^{_{Unconstrained salient & camouflaged object detection}} 706 | [R2C7K](https://github.com/zhangxuying1004/RefCOD) | 2025 | PAMI | [Paper](https://github.com/zhangxuying1004/RefCOD) | Img | 5015/1600(Ref) | | ✓ | | ^{_{Referring COD}} | 707 | [PlantCamo](https://github.com/yjybuaa/PlantCamo) | 2025 | AIR | [Paper](https://arxiv.org/pdf/2410.17598) | Img | 1250 | ✓ | ✓ | ✓ | ^{_{Plant COD}} | 708 | [CoCOD8K](https://github.com/zc199823/BBNet--CoCOD) | 2024 | TNNLS | [Paper](https://arxiv.org/abs/2310.04253) | Img | 8528 | | ✓ | | ^_Co-COD | 709 | [ACOD-12K](https://github.com/Kki2Eve/RISNet) | 2024 | CVPR | [Paper](https://openaccess.thecvf.com/content/CVPR2024/papers/Wang_Depth-Aware_Concealed_Crop_Detection_in_Dense_Agricultural_Scenes_CVPR_2024_paper.pdf) | Img | 6092 | ✓ | ✓ | | ^{_{RGB-D COD (Crop)}} 710 | [ACOD2K](https://github.com/syxvision/FDNet) | 2023 | ICME | [Paper](https://arxiv.org/abs/2307.03943) | Img | 1500 | | ✓ | | ^{_{Artificial camouflaged object}} 711 | [CAM-LDR](https://github.com/JingZhang617/COD-Rank-Localize-and-Segment) | 2023 | TCSVT | [Paper](https://arxiv.org/abs/2205.11333) | Img | 4040 | | | | ^{_{Camo ranking (fixation & ranking)}} 712 | [CAMO++](https://sites.google.com/view/ltnghia/research/camo_plus_plus?authuser=0) | 2021 | TIP | [Paper](https://arxiv.org/abs/2103.17123) | Img | 2700 | ✓ | ✓ | ✓ | ^{_{Instance seg.}} 713 | [NC4K](https://github.com/JingZhang617/COD-Rank-Localize-and-Segment) | 2021 | CVPR | [Paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Lv_Simultaneously_Localize_Segment_and_Rank_the_Camouflaged_Objects_CVPR_2021_paper.pdf) | Img | 4121 | ✓ | ✓ | ✓ | 714 | [COD10K](http://dpfan.net/camouflage/) | 2020 | CVPR | [Paper](https://openaccess.thecvf.com/content_CVPR_2020/papers/Fan_Camouflaged_Object_Detection_CVPR_2020_paper.pdf) | Img | 5066 | ✓ | ✓ | ✓ | 715 | [CAMO](https://sites.google.com/view/ltnghia/research/camo) | 2019 | CVIU | [Paper](http://www.dgcv.nii.ac.jp/Publications/Papers/2019/cviu2019.pdf) | Img | 1250 | | ✓ | | 716 | [CPD1K](https://github.com/xfflyer/Camouflaged-people-detection) | 2018 | SPL | [Paper](https://ieeexplore.ieee.org/document/8336933) | Img | 1000 | | ✓ | | 717 | [CHAMELEON](https://www.polsl.pl/rau6/chameleon-database-animal-camouflage-analysis/) | 2017 | — | [Webpage](https://www.polsl.pl/rau6/chameleon-database-animal-camouflage-analysis/) | Img | 76 | | ✓ | | 718 | 719 | 720 | #### - Weakly-Supervised Image COD 721 | 722 | | **Name** | **Year** | **Pub.** | **Links** | **Type** | **Img.(Camo.)** | 723 | | :------: | :------: | :-------: | :-------: | :-------: | :-------: | 724 | [P-COD](https://github.com/2231122/PCOD) | 2024 | ECCV | [Paper](https://arxiv.org/abs/2408.10777) | Point | 4040 | 725 | [S-COD](https://github.com/dddraxxx/Weakly-Supervised-Camouflaged-Object-Detection-with-Scribble-Annotations) | 2023 | AAAI | [Paper](https://arxiv.org/abs/2207.14083) | Scribble | 4040 | 726 | 727 | 728 | #### - Visual-Language Dataset 729 | 730 | | **Name** | **Year** | **Pub.** | **Links** | **Img.(Camo.)** | **BBbox** | **Pix.** | **Ins.** | **Comments** 731 | | :------: | :------: | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | 732 | [MM-CamObj](https://github.com/JCruan519/MM-CamObj) | 2025 | AAAI | [Paper](https://ojs.aaai.org/index.php/AAAI/article/view/32723) | 11363 | | ✓ | | ^{_{CamObj-Align: image-text pairs; CamObj-Instruct: images and conversations with diverse instructions}} | 733 | [COD-TAX](https://github.com/lyu-yx/ACUMEN) | 2024 | ECCV | [Paper](https://arxiv.org/abs/2408.12086) | -- | | ✓ | | ^{_{Obj masks with textual descriptions and attribute contributions}} | 734 | [OVCamo](https://github.com/lartpang/OVCamo) | 2024 | ECCV | [Paper](https://arxiv.org/abs/2311.11241) | 11483 | | ✓ | | ^{_{Open-vocabulary seg. (obj. classes & masks)}}| 735 | 736 | 737 | #### - Video COD 738 | 739 | | **Dataset** | **Year** | **Pub.** | **Links** | **Type** | **Clips/Ann.Img.** | **BBbox** | **Pix.** | **Ins.** | **Cate.** |**Comments** 740 | | :------: | :------: | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | 741 | [CamoVid60K](https://camovid.hkustvgd.com/) | 2025 | arXiv | [Paper](https://camovid.hkustvgd.com/) | Video | 218/62,774 | ✓ | ✓ | | ✓ | 742 | MVCOD | 2025 | arXiv | [Paper](https://arxiv.org/abs/2502.13859) | Video | 162/9,486 | ✓ | ✓ | ✓ | ✓ | | 743 | [MoCA-Mask](https://xueliancheng.github.io/SLT-Net-project/) | 2022 | CVPR | [Paper](https://arxiv.org/abs/2203.07363) | Video | 87/4,691 | ✓ | ✓ | | ✓ | | 744 | [MoCA](https://www.robots.ox.ac.uk/~vgg/data/MoCA/) | 2020 | ACCV | [Paper](https://openaccess.thecvf.com/content/ACCV2020/html/Lamdouar_Betrayed_by_Motion_Camouflaged_Object_Discovery_via_Motion_Segmentation_ACCV_2020_paper.html) | Video | 141/7,617 | ✓ | | | | | 745 | [CAMO UOW](https://sites.google.com/view/wanqingli/data-sets/uow-camo?authuser=0) | 2018 | TIP | [Paper](https://ieeexplore.ieee.org/document/8344427) | Video | 10/- | | ✓ | | | ^{_{Cate.: human}} 746 | [CAD](https://drive.google.com/file/d/1JIH9X_kByhkyCFu7TUe_AeQh0MBk8aU6/view) | 2016 | ECCV | [Paper](https://link.springer.com/chapter/10.1007/978-3-319-46484-8_26) | Video | 9/191 | | ✓ | | | ^{_{Camouflaged Animal Dataset (CAD)/[Homepage](https://www.pia-bideau.com/publications)}} 747 | 748 | 749 | #### - Other Related Datasets 750 | 751 | | **Name** | **Year** | **Pub.** | **Links** | **Type** | **Img.(Camo.)** | **Ann.** | **Comments** 752 | | :------: | :------: | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | 753 | [IOCfish5K](https://github.com/GuoleiSun/Indiscernible-Object-Counting) | 2023 | CVPR | [Paper](https://openaccess.thecvf.com/content/CVPR2023/html/Sun_Indiscernible_Object_Counting_in_Underwater_Scenes_CVPR_2023_paper.html) | Img | 5637 | Point/Counting | ^{_{Indiscernible Object Counting}} 754 | [CDS2K](https://github.com/DengPingFan/CSU) | 2023 | VI | [Paper](https://arxiv.org/abs/2304.11234) | Img | 2492 | BBbox+Pix. | ^{_{Defect seg. dataset}} 755 | 756 | 757 | 758 | 759 | 760 | 761 | 762 |

📎 Reference

763 | 764 | - [Awesome List for Camouflaged Object Detection](https://github.com/GewelsJI/SINet-V2/blob/main/AWESOME_COD_LIST.md) 765 | - [Awesome Concealed Object Segmentation](https://github.com/ChunmingHe/awesome-concealed-object-segmentation) 766 | 767 | 768 | 769 |

⭐ Star History

770 | 771 | [![Star History Chart](https://api.star-history.com/svg?repos=visionxiang/awesome-camouflaged-object-detection&type=date&legend=top-left)](https://www.star-history.com/#visionxiang/awesome-camouflaged-object-detection&type=date&legend=top-left) 772 | 773 | --------------------------------------------------------------------------------