└── README.md /README.md: -------------------------------------------------------------------------------- 1 | ## DA_Detection_Material 2 | 3 | This repository will give some materials about domain adaptation for object detection. 4 |
5 | If you find some overlooked papers or resourses, please open issues or pull requests (recommended). 6 | 7 | * Arxiv Mon, 7 Oct 2024 Rethinking Weak-to-Strong Augmentation in Source-Free Domain Adaptive Object Detection 8 | * ACM MM 2024 Diffusion Domain Teacher: Diffusion Guided Domain Adaptive Object Detector 9 | * ICML 2024 DSD-DA: Distillation-based Source Debiasing for Domain Adaptive Object Detection 10 | * ECCV 2024 Revisiting Domain-Adaptive Object Detection in Adverse Weather by the Generation and Composition of High-Quality Pseudo-Labels 11 | * ECCV 2024 Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector 12 | * ECCV 2024 CMD: A Cross Mechanism Domain Adaptation Dataset for 3D Object Detection 13 | * ECCV 2024 Simplifying Source-Free Domain Adaptation for Object Detection: Effective Self-Training Strategies and Performance Insights 14 | * ECCV 2024 Source-Free Domain Adaptation for YOLO Object Detection 15 | * ECCV 2024 Dynamic Retraining-Updating Mean Teacher for Source-Free Object Detection 16 | * ECCV 2024 Enhancing Source-Free Domain Adaptive Object Detection with Low-confidence Pseudo Label Distillation 17 | * CVPR 2024 D3T: Distinctive Dual-Domain Teacher Zigzagging Across RGB-Thermal Gap for Domain-Adaptive Object Detection 18 | * CVPR 2024 CAT: Exploiting Inter-Class Dynamics for Domain Adaptive Object Detection 19 | * CVPR 2024 Unbiased Faster R-CNN for Single-source Domain Generalized Object Detection 20 | * CVPR 2024 Improving Single Domain-Generalized Object Detection: A Focus on Diversification and Alignment 21 | * CVPR 2024 Boosting Object Detection with Zero-Shot Day-Night Domain Adaptation 22 | * CVPR 2024 What, How, and When Should Object Detectors Update in Continually Changing Test Domains? 23 | * TCSVT 2024 Balanced Teacher for Source-free Object Detection 24 | * Arxiv 24 Oct 2023 Mean Teacher DETR with Masked Feature Alignment: A Robust Domain Adaptive Detection Transformer Framework 25 | * ICCV 2023 Novel Scenes & Classes: Towards Adaptive Open-set Object Detection 26 | * ICCV 2023 CSDA: Learning Category-Scale Joint Feature for Domain Adaptive Object Detection 27 | * ICCV 2023 Masked Retraining Teacher-Student Framework for Domain Adaptive Object Detection 28 | * ICCV 2023 Bidirectional Alignment for Domain Adaptive Detection with Transformers 29 | * Arxiv Aug 2023, Detect, Augment, Compose, and Adapt: Four Steps for Unsupervised Domain Adaptation in Object Detection 30 | * ICCV 2023 Unsupervised Domain Adaptive Detection with Network Stability Analysis 31 | * Arxiv 9 Jun 2023, Learning Domain-Aware Detection Head with Prompt Tuning 32 | * CVPR 2023 Object Detection With Self-Supervised Scene Adaptation 33 | * CVPR 2023 Instance Relation Graph Guided Source-Free Domain Adaptive Object Detection 34 | * CVPR 2023 Harmonious Teacher for Cross-domain Object Detection 35 | * CVPR 2023 Contrastive Mean Teacher for Domain Adaptive Object Detectors 36 | * CVPR 2023 CLIP the Gap: A Single Domain Generalization Approach for Object Detection 37 | * CVPR 2023 Learning Transformations To Reduce the Geometric Shift in Object Detection 38 | * CVPR 2023 2PCNet: Two-Phase Consistency Training for Day-to-Night Unsupervised Domain Adaptive Object Detection 39 | * CVPR 2023 AsyFOD: An Asymmetric Adaptation Paradigm for Few-Shot Domain Adaptive Object Detection 40 | * CVPR 2023 CIGAR: Cross-Modality Graph Reasoning for Domain Adaptive Object Detection 41 | * CVPR 2023 DETR With Additional Global Aggregation for Cross-Domain Weakly Supervised Object Detection 42 | * CVPR 2023 Multi-view Adversarial Discriminator: Mine the Non-causal Factors for Object Detection in Unseen Domains 43 | * T-PAMI 2023 SIGMA++: Improved Semantic-complete Graph Matching for Domain Adaptive Object Detection 44 | * Arxiv 2023 Robust Domain Adaptive Object Detection with Unified Multi-Granularity Alignment 45 | * TMM 2022 SCAN++: Enhanced Semantic Conditioned Adaptation for Domain Adaptive Object Detection 46 | * ECCV 2022 Unsupervised Domain Adaptation for One-Stage Object Detector Using Offsets to Bounding Box 47 | * ECCV 2022 AcroFOD: An Adaptive Method for Cross-Domain Few-Shot Object Detection 48 | * ECCV 2022 MTTrans: Cross-Domain Object Detection with Mean Teacher Transformer 49 | * CVPR 2022 Multi-Granularity Alignment Domain Adaptation for Object Detection 50 | * CVPR 2022 Exploring Endogenous Shift for Cross-Domain Detection: A Large-Scale Benchmark and Perturbation Suppression Network 51 | * CVPR 2022 Source-Free Object Detection by Learning To Overlook Domain Style 52 | * CVPR 2022 Towards Robust Adaptive Object Detection under Noisy Annotations 53 | * Code: [NLTE](https://github.com/CityU-AIM-Group/NLTE) 54 | * CVPR 2022 Single-Domain Generalized Object Detection in Urban Scene via Cyclic-Disentangled Self-Distillation 55 | * Code: [Single-DGOD](https://github.com/AmingWu/Single-DGOD) 56 | * CVPR 2022 H2FA R-CNN: Holistic and Hierarchical Feature Alignment for Cross-Domain Weakly Supervised Object Detection 57 | * Code: [H2FA_R-CNN (PyTorch)](https://github.com/XuYunqiu/H2FA_R-CNN), [H2FA_R-CNN (PaddlePaddle)](https://github.com/XuYunqiu/H2FA_R-CNN/tree/ppdet) 58 | * CVPR 2022 Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object Detection 59 | * CVPR 2022 Cross Domain Object Detection by Target-Perceived Dual Branch Distillation 60 | * CVPR 2022 Cross-Domain Adaptive Teacher for Object Detection 61 | * Code: [adaptive_teacher](https://github.com/facebookresearch/adaptive_teacher) 62 | * CVPR 2022 Task-specific Inconsistency Alignment for Domain Adaptive Object Detection 63 | * Code: [TIA](https://github.com/MCG-NJU/TIA) 64 | * CVPR 2022 SIGMA: Semantic-complete Graph Matching for Domain Adaptative Object Detection 65 | * Code: [SIGMA](https://github.com/CityU-AIM-Group/SIGMA) 66 | * AAAI 2022 SCAN: Cross Domain Object Detection with Semantic Conditioned Adaptation 67 | * Code: [SCAN](https://github.com/CityU-AIM-Group/SCAN) 68 | * AAAI 2022 Unsupervised Domain Adaptive Salient Object Detection Through Uncertainty-Aware Pseudo-Label Learning 69 | * 2022 Decouple and Reconstruct: Mining Discriminative Features for Cross-domain Object Detection 70 | * ICLR 2022 Decoupled Adaptation for Cross-Domain Object Detection 71 | * Code: [Decoupled-Adaptation-for-Cross-Domain-Object-Detection](https://github.com/thuml/Decoupled-Adaptation-for-Cross-Domain-Object-Detection) 72 | * Arxiv 2022 Domain-Invariant Proposals based on a Balanced Domain Classifier for Object Detection 73 | * TMM 2022 Decompose to Adapt: Cross-domain Object Detection via Feature Disentanglement 74 | - [code](https://github.com/dliu5812/DDF) 75 | * T-ITS [C2FDA: Coarse-to-Fine Domain Adaptation for Traffic Object Detection](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9616450) 76 | * Neurips 2021 SSAL: Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection 77 | * ICCV 2021 Dual Bipartite Graph Learning: A General Approach for Domain Adaptive Object Detection 78 | * ICCV 2021 Vector-Decomposed Disentanglement for Domain-Invariant Object Detection 79 | * ICCV 2021 PIT: Position-Invariant Transform for Cross-FoV Domain Adaptation 80 | * ICCV 2021 Multi-Source Domain Adaptation for Object Detection 81 | * ICCV 2021 Seeking Similarities Over Differences: Similarity-Based Domain Alignment for Adaptive Object Detection 82 | * ICCV 2021 Knowledge Mining and Transferring for Domain Adaptive Object Detection 83 | * ICCV 2021 Domain-Invariant Disentangled Network for Generalizable Object Detection 84 | * TMM 2021 Uncertainty-Aware Unsupervised Domain Adaptation in Object Detection 85 | * TMM 2021 Joint Distribution Alignment via Adversarial Learning for Domain Adaptive Object Detection 86 | * TIP 2021 HTD: Heterogeneous Task Decoupling for Two-Stage Object Detection 87 | * Image and Vision Computing 2021, An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites, [code](https://github.com/fpv-iplab/DA-RetinaNet). 88 | * TIP Sequential Instance Refinement for Cross-Domain Object Detection in Images 89 | * AAAI 2021 Category Dictionary Guided Unsupervised Domain Adaptation for Object Detection 90 | * 20210704 arxiv Unsupervised Domain Adaptation of Object Detectors: A Survey 91 | * IJCV2021 Scale-Aware Domain Adaptive Faster R-CNN 92 | * 20210803 arxiv Multilevel Knowledge Transfer for Cross-Domain Object Detection 93 | * CVPR 2021 Informative and Consistent Correspondence Mining for Cross-Domain Weakly Supervised Object Detection 94 | * CVPR 2021 SRDAN: Scale-Aware and Range-Aware Domain Adaptation Network for Cross-Dataset 3D Object Detection 95 | * CVPR 2021 ST3D: Self-Training for Unsupervised Domain Adaptation on 3D Object Detection 96 | * CVPR 2021 MeGA-CDA: Memory Guided Attention for Category-Aware Unsupervised Domain Adaptive Object Detection 97 | * CVPR 2021 I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors 98 | * CVPR 2021 RPN Prototype Alignment for Domain Adaptive Object Detector 99 | * CVPR 2021 Domain-Specific Suppression for Adaptive Object Detection 100 | * CVPR 2021 Unbiased Mean Teacher for Cross-domain Object Detection 101 | * ECCV 2020 One-Shot Unsupervised Cross-Domain Detection 102 | * ECCV 2020 Prior-based Domain Adaptive Object Detection for Hazy and Rainy Conditions 103 | * ECCV 2020 Collaborative Training between Region Proposal Localization and Classification for Domain Adaptive Object Detection 104 | * ECCV 2020 Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector 105 | * ECCV 2020 Domain Adaptive Object Detection via Asymmetric Tri-way Faster-RCNN 106 | * ACM MM 2020 Domain-Adaptive Object Detection via Uncertainty-Aware Distribution Alignment 107 | * 20201216 arxiv Domain Adaptive Object Detection via Feature Separation and Alignment 108 | * 20200217 arxiv [Deep Domain Adaptive Object Detection: a Survey](https://arxiv.org/abs/2002.06797) 109 | * 20200309 AAAI 2020 [iFAN: Image-Instance Full Alignment Networks for Adaptive Object Detection](https://arxiv.org/abs/2003.04132) 110 | * 20200313 CVPR 2020 [Harmonizing Transferability and Discriminability for Adapting Object Detectors](https://arxiv.org/abs/2003.06297) 111 | * 20200316 ECCV 2020 [Adapting Object Detectors with Conditional Domain Normalization](https://arxiv.org/abs/2003.07071) 112 | * 20200409 arxiv [Deeply Aligned Adaptation for Cross-domain Object Detection](https://arxiv.org/abs/2004.02093) 113 | * 20200329 arxiv [Adaptive Object Detection with Dual Multi-Label Prediction](https://arxiv.org/abs/2003.12979) 114 | * 20200329 ECCV 2020 [Spatial Attention Pyramid Network for Unsupervised Domain Adaptation](https://arxiv.org/abs/2003.12979) 115 | * 20200320 CVPR 2020 [Exploring Categorical Regularization for Domain Adaptive Object Detection](https://arxiv.org/abs/2003.09152) 116 | * Code: [CR-DA-DET](https://github.com/Megvii-Nanjing/CR-DA-DET) 117 | * 20200203 arxiv [Unsupervised Domain Adaptive Object Detection using Forward-Backward Cyclic Adaptation](https://arxiv.org/abs/2002.00575) 118 | * 20200322 arxiv [Self-Guided Adaptation: Progressive Representation Alignment for Domain 119 | Adaptive Object Detection](https://arxiv.org/abs/2003.08777) 120 | * 20200320 CVPR 2020 [Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation](https://arxiv.org/abs/2003.10275) 121 | * 20200328 CVPR 2020 [Cross-domain Detection via Graph-induced Prototype Alignment](https://arxiv.org/pdf/2003.12849.pdf) 122 | * Code: [GPA-detection](https://github.com/ChrisAllenMing/GPA-detection) 123 | * 20191215 arxiv [Curriculum Self-Paced Learning for Cross-Domain Object Detection](https://arxiv.org/abs/1911.06849) 124 | * 20191129 arxiv [Prior-based Domain Adaptive Object Detection for Adverse Weather Conditions](https://arxiv.org/abs/1912.00070v1) 125 | * 20191124 arxiv [Unsupervised Domain Adaptation for Object Detection via Cross-Domain Semi-Supervised Learning](https://arxiv.org/abs/1911.07158v2) 126 | * 20191122 BMVC 2019 [Domain Adaptation for Object Detection via Style Consistency](https://arxiv.org/abs/1911.10033v1) 127 | * 20190918 arxiv [Wasserstein Distance Based Domain Adaptation for Object Detection](https://arxiv.org/abs/1909.08675) 128 | * 20190907 ICCV 2019 [Multi-adversarial Faster-RCNN for Unrestricted Object Detection](http://arxiv.org/abs/1907.10343v2) 129 | * 20190514 CVPR 2019 [Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection](https://arxiv.org/abs/1905.05396) 130 | * 20191024 WACV 2020 [Progressive Domain Adaptation for Object Detection](https://arxiv.org/abs/1910.11319v1) 131 | * 20190902 ICCV 2019(oral) [Self-Training and Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection](https://arxiv.org/abs/1909.00597v1) 132 | * 2019xxxx CVPR 2019 [Adapting Object Detectors via Selective Cross-Domain Alignment](http://openaccess.thecvf.com/content_CVPR_2019/html/Zhu_Adapting_Object_Detectors_via_Selective_Cross-Domain_Alignment_CVPR_2019_paper.html) 133 | * code: [SCDA](https://github.com/WERush/SCDA) 134 | * 20190425 CVPR 2019 [Exploring Object Relation in Mean Teacher for Cross-Domain Detection](https://arxiv.org/abs/1904.11245) 135 | * 20190404 [A Robust Learning Approach to Domain Adaptive Object Detection](https://arxiv.org/abs/1904.02361) 136 | * 20190310 CVPR 2019 [Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation](https://arxiv.org/abs/1903.04064) 137 | * 20190322 CVPR 2019 [Few-shot Adaptive Faster R-CNN](https://arxiv.org/abs/1903.09372) 138 | * 20190409 CVPR 2019 [Towards Universal Object Detection by Domain Attention](https://arxiv.org/abs/1904.04402) 139 | * 20190415 CVPR 2019 [Automatic adaptation of object detectors to new domains using self-training](https://arxiv.org/abs/1904.07305) 140 | * code: [detectron-self-train](https://github.com/AruniRC/detectron-self-train) 141 | * 20190405 CVPR 2019 [Strong-Weak Distribution Alignment for Adaptive Object Detection](https://arxiv.org/abs/1812.04798) 142 | * code: [DA_Detection](https://github.com/VisionLearningGroup/DA_Detection) 143 | * 20181203 [SPLAT: Semantic Pixel-Level Adaptation Transforms for Detection](https://arxiv.org/abs/1812.00929) 144 | * 20181004 [Unsupervised Adversarial Visual Level Domain Adaptation for Learning Video Object Detectors from Images](https://arxiv.org/abs/1810.02074) 145 | * 20180930 [Pixel and Feature Level Based Domain Adaption for Object Detection in Autonomous Driving](https://arxiv.org/abs/1810.00345) 146 | * 20180530 CVPR 2018 [Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation](https://arxiv.org/abs/1803.11365) 147 | * code: [cross-domain-detection](https://github.com/naoto0804/cross-domain-detection) 148 | * 20180508 CVPR 2018 [Domain Adaptive Faster R-CNN for Object Detection in the Wild](https://arxiv.org/abs/1803.03243) 149 | * image level alignment, instance level alignment and consistency regularization 150 | * code: [da-faster-rcnn](https://github.com/yuhuayc/da-faster-rcnn) 151 | 152 | 153 | --------------------------------------------------------------------------------