└── README.md /README.md: -------------------------------------------------------------------------------- 1 | # Awesome-Semi-Supervised-Semantic-Segmentation 2 | 3 | [![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome) 4 | [![Maintenance](https://img.shields.io/badge/Maintained%3F-yes-green.svg)](https://github.com/BBBBchan/Awesome-Semi-Supervised-Semantic-Segmentation/graphs/commit-activity) 5 | 6 | This is a summary of recent semi-supervised semantic segmentation methods. Please feel free to contact me (sbysbysby123@gmail.com) if I miss some papers. Issues and PRs are also welcomed! 7 | 8 | 9 | *NOTE:* The methods of semi-supervised medical segmentation methods are not included, you can find them [here](https://github.com/HiLab-git/SSL4MIS). As for general semi-supervised learning, you can refer to [this repo](https://github.com/yassouali/awesome-semi-supervised-learning). 10 | 11 | ## 2025 12 | | Title| Abbreviation| Published |   Dataset  | CODE | PDF | 13 | | :---------| :------------------------------:| :----------------------: | :-------------------------------------------------------------------------:| :--------------------: | :--------------- | 14 | |Semi-Supervised Semantic Segmentation via Derivative Label Propagation|DerProp| Arxiv 2025|PASCAL VOC 2012, Cityscapes| [Code](https://github.com/ForawardStar/DerProp)![Github stars](https://img.shields.io/github/stars/ForawardStar/DerProp) | [Paper](https://arxiv.org/pdf/2508.02254)| 15 | |Leveraging Out-of-Distribution Unlabeled Images: Semi-Supervised Semantic Segmentation with an Open-Vocabulary Model|SemiOVS| Arxiv 2025 | PASCAL VOC 2012, PASCAL Context| [Code](https://github.com/wooseok-shin/SemiOVS)![Github stars](https://img.shields.io/github/stars/wooseok-shin/SemiOVS)|[Paper](https://arxiv.org/pdf/2507.03302)| 16 | |Rethinking Semi-supervised Segmentation Beyond Accuracy: Reliability and Robustness|RSS| Arxiv 2025|PASCAL VOC 2012, Cityscapes| - | [Paper](https://arxiv.org/pdf/2504.06958)| 17 | |Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation|ASAug| Arxiv 2025|PASCAL VOC 2012, Cityscapes, MS COCO | - |[Paper](https://arxiv.org/pdf/2505.23438) | 18 | |IGL-DT: Iterative Global-Local Feature Learning with Dual-Teacher Semantic Segmentation Framework under Limited Annotation Scheme|IGL-DT|Arxiv 2025|PASCAL VOC 2012, Cityscapes| - | [Paper](https://arxiv.org/pdf/2504.09797)| 19 | |BoundMatch: Boundary detection applied to semi-supervised segmentation for urban-driving scenes|BoundMatch| Arxiv 2025|Cityscapes, BDD100K, SYNTHIA, PASCAL VOC 2012, ADE20K| -| [Paper](https://arxiv.org/pdf/2503.23519)| 20 | |Exploring Token-Level Augmentation in Vision Transformer for Semi-Supervised Semantic Segmentation| TokenMix|Arxiv 2025| PASCAL VOC 2012, Cityscapes, MS COCO | - |[Paper](https://arxiv.org/pdf/2503.02459) | 21 | |DEARLi: Decoupled Enhancement of Recognition and Localization for Semi-Supervised Panoptic Segmentation| DEARLi | ICCV Findings 2025| ADE20K, COCO Object, COCO Panoptic| [Code](https://github.com/helen1c/DEARLi)![Github stars](https://img.shields.io/github/stars/helen1c/DEARLi)| [Paper](https://arxiv.org/pdf/2507.10118)| 22 | |When Confidence Fails: Revisiting Pseudo-Label Selection in Semi-supervised Semantic Segmentation | CSL | ICCV 2025 | PASCAL VOC 2012, Cityscapes, MS COCO | [Code](https://github.com/PanLiuCSU/CSL)![Github stars](https://img.shields.io/github/stars/PanLiuCSU/CSL)|[Paper](https://arxiv.org/pdf/2509.16704)| 23 | |ConformalSAM: Unlocking the Potential of Foundational Segmentation Models in Semi-Supervised Semantic Segmentation with Conformal Prediction| ConformalSAM| ICCV 2025 | PASCAL VOC 2012, ADE20K| - | [Paper](https://arxiv.org/pdf/2507.15803)| 24 | |Towards Unbiased Learning in Semi-Supervised Semantic Segmentation| DiffMatch | ICLR 2025 |PASCAL VOC 2012, Cityscapes, MS COCO |[Code](https://github.com/yuisuen/DiffMatch)![Github stars](https://img.shields.io/github/stars/yuisuen/DiffMatch) |[Paper](https://openreview.net/pdf/362748e3d38080719b82e819e241d1c47b323620.pdf) | 25 | |Knowledge Consultation for Semi-Supervised Semantic Segmentation|SegKC| Arxiv 2025| PASCAL VOC 2012, Cityscapes| -| [paper](https://arxiv.org/pdf/2503.10693)| 26 | |Zero-Shot Pseudo Labels Generation Using SAM and CLIP for Semi-Supervised Semantic Segmentation|-|ICIP 2025|PASCAL VOC 2012, MS COCO | - | [Paper](https://arxiv.org/pdf/2505.19846) | 27 | |Confidence-Weighted Boundary-Aware Learning for Semi-Supervised Semantic Segmentation| CW-BASS|IJCNN 2025| PASCAL VOC 2012, Cityscapes | [Code](https://github.com/psychofict/CW-BASS)![Github stars](https://img.shields.io/github/stars/psychofict/CW-BASS) |[Paper](https://arxiv.org/pdf/2502.15152) | 28 | |Semi-supervised Semantic Segmentation with Multi-Constraint Consistency Learning|MCCL| TMM 2025| PASCAL VOC 2012, Cityscapes| [Code](https://github.com/NUST-Machine-Intelligence-Laboratory/MCCL)![Github stars](https://img.shields.io/github/stars/NUST-Machine-Intelligence-Laboratory/MCCL) | [Paper](https://arxiv.org/pdf/2503.17914)| 29 | |Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation|DUEB|WACV 2025|PASCAL VOC 2012, Cityscapes|-|[Paper](https://arxiv.org/pdf/2501.01640)| 30 | |Uncertainty-Participation Context Consistency Learning for Semi-supervised Semantic Segmentation|UCCL|ICASSP 2025|PASCAL VOC 2012, Cityscapes|[Code](https://github.com/YUKEKEJAN/UCCL)![Github stars](https://img.shields.io/github/stars/YUKEKEJAN/UCCL)|[Paper](https://arxiv.org/pdf/2412.17331)| 31 | |Hybrid Architectures Ensemble Learning for pseudo-label refinement in semi-supervised segmentation| HAEL| INFFUS 2025 |PASCAL VOC 2012, Cityscapes|-|[Paper](https://doi.org/10.1016/j.inffus.2024.102791)| 32 | 33 | ## 2024 34 | | Title| Abbreviation| Published |   Dataset  | CODE | PDF | 35 | | :---------| :------------------------------:| :----------------------: | :-------------------------------------------------------------------------:| :--------------------: | :--------------- | 36 | |Masked Image Modeling Boosting Semi-Supervised Semantic Segmentation|S4MIM| Arxiv 2024|PASCAL VOC 2012, Cityscapes|[Code](https://github.com/haoxt/S4MIM)![Github stars](https://img.shields.io/github/stars/haoxt/S4MIM)|[Paper](https://arxiv.org/pdf/2411.08756)| 37 | |Exploiting Minority Pseudo-Labels for Semi-Supervised Semantic Segmentation in Autonomous Driving| - | Arxiv 2024| PASCAL VOC 2012, Cityscapes|-|[Paper](https://arxiv.org/pdf/2409.12680)| 38 | |Revisiting and Maximizing Temporal Knowledge in Semi-supervised Semantic Segmentation|PrevMatch| Arxiv 2024|PASCAL VOC 2012, Cityscapes, MS COCO, ADE20k|[Code](https://github.com/wooseok-shin/PrevMatch)![Github stars](https://img.shields.io/github/stars/wooseok-shin/PrevMatch)|[Paper](https://arxiv.org/abs/2405.20610)| 39 | |IPixMatch: Boost Semi-supervised Semantic Segmentation with Inter-Pixel Relation|IPixMatch| Arxiv 2024|PASCAL VOC 2012, Cityscapes|-|[Paper](https://arxiv.org/pdf/2404.18891)| 40 | |PRCL: Probabilistic Representation Contrastive Learning for Semi-Supervised Semantic Segmentation|PRCL| Arxiv 2024|PASCAL VOC 2012, Cityscapes|-|[Paper](https://arxiv.org/pdf/2402.18117)| 41 | |UniMatch V2: Pushing the Limit of Semi-Supervised Semantic Segmentation|UniMatch V2| Arxiv 2024|PASCAL VOC 2012, Cityscapes, MS COCO, ADE20k|[Code](https://github.com/LiheYoung/UniMatch-V2)![Github stars](https://img.shields.io/github/stars/LiheYoung/UniMatch-V2)|[Paper](https://arxiv.org/pdf/2410.10777)| 42 | |CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation|CorrMatch|CVPR 2024| PASCAL VOC 2012, Cityscapes|[Code](https://github.com/BBBBchan/CorrMatch)![Github stars](https://img.shields.io/github/stars/BBBBchan/CorrMatch)|[Paper](https://arxiv.org/pdf/2306.04300.pdf)| 43 | |Training Vision Transformers for Semi-Supervised Semantic Segmentation|S4Former|CVPR 2024| PASCAL VOC 2012, Cityscapes, MS COCO|[Code](https://github.com/JoyHuYY1412/S4Former)![Github stars](https://img.shields.io/github/stars/JoyHuYY1412/S4Former)|[Paper](https://openaccess.thecvf.com/content/CVPR2024/papers/Hu_Training_Vision_Transformers_for_Semi-Supervised_Semantic_Segmentation_CVPR_2024_paper.pdf)| 44 | |Towards the Uncharted: Density-Descending Feature Perturbation for Semi-supervised Semantic Segmentation|DDFP| CVPR 2024| PASCAL VOC 2012, Cityscapes|-|[Paper](https://arxiv.org/pdf/2403.06462.pdf)| 45 | |AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation|AllSpark| CVPR 2024|PASCAL VOC 2012, Cityscapes, MS COCO|[Code](https://github.com/xmed-lab/AllSpark)![Github stars](https://img.shields.io/github/stars/xmed-lab/AllSpark)|[Paper](https://arxiv.org/pdf/2403.01818.pdf)| 46 | |RankMatch: Exploring the Better Consistency Regularization for Semi-supervised Semantic Segmentation|RankMatch| CVPR 2024| PASCAL VOC 2012, Cityscapes|[Code](https://github.com/mai556/RankMatch)![Github stars](https://img.shields.io/github/stars/mai556/RankMatch)|[Paper](https://openaccess.thecvf.com/content/CVPR2024/papers/Mai_RankMatch_Exploring_the_Better_Consistency_Regularization_for_Semi-supervised_Semantic_Segmentation_CVPR_2024_paper.pdf)| 47 | |Beyond Pixels: Semi-Supervised Semantic Segmentation with a Multi-scale Patch-based Multi-Label Classifier|MPMC| ECCV 2024|PASCAL VOC 2012, Cityscapes|-|[Paper](https://arxiv.org/pdf/2407.04036)| 48 | |SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance| SemiVL|ECCV 2024 | PASCAL VOC 2012, Cityscapes, MS COCO, ADE20k|[Code](https://github.com/google-research/semivl)![Github stars](https://img.shields.io/github/stars/google-research/semivl)|[Paper](https://arxiv.org/abs/2311.16241)| 49 | |Weighting Pseudo-Labels via High-Activation Feature Index Similarity and Object Detection for Semi-Supervised Segmentation|-| ECCV 2024| PASCAL VOC 2012, Cityscapes|[Code](https://github.com/cvlab-stonybrook/Weighting-Pseudo-Labels)![Github stars](https://img.shields.io/github/stars/cvlab-stonybrook/Weighting-Pseudo-Labels)|[Paper](https://arxiv.org/pdf/2407.12630)| 50 | |Multi-Level Label Correction by Distilling Proximate Patterns for Semi-supervised Semantic Segmentation|MLLC|TMM 2024|PASCAL VOC 2012, Cityscapes|-|[Paper](https://arxiv.org/pdf/2404.02065.pdf)| 51 | |Class Probability Space Regularization for semi-supervised semantic segmentation|CPSR|CVIU 2024|PASCAL VOC 2012, Cityscapes|[Code](https://github.com/PixelSegTech/CPSR)![Github stars](https://img.shields.io/github/stars/PixelSegTech/CPSR)|[Paper](https://doi.org/10.1016/j.cviu.2024.104146)| 52 | |Revisiting Network Perturbation for Semi-Supervised Semantic Segmentation|MLPMatch|PRCV 2024|PASCAL VOC 2012, Cityscapes|[Code](https://github.com/LlistenL/MLPMatch)![Github stars](https://img.shields.io/github/stars/LlistenL/MLPMatch)|[Paper](https://arxiv.org/pdf/2411.05307)| 53 | |Interactive Network Perturbation between Teacher and Students for Semi-Supervised Semantic Segmentation|GPS|WACV 2024|PASCAL VOC 2012, Cityscapes|-|[Paper](https://openaccess.thecvf.com/content/WACV2024/papers/Cho_Interactive_Network_Perturbation_Between_Teacher_and_Students_for_Semi-Supervised_Semantic_WACV_2024_paper.pdf)| 54 | 55 | 56 | ## 2023 57 | | Title| Abbreviation| Published |   Dataset  | CODE | PDF | 58 | | :---------| :------------------------------:| :----------------------: | :-------------------------------------------------------------------------:| :--------------------: | :--------------- | 59 | |CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation|CorrMatch|Arxiv 2023| PASCAL VOC 2012, Cityscapes|[Code](https://github.com/BBBBchan/CorrMatch)![Github stars](https://img.shields.io/github/stars/BBBBchan/CorrMatch)|[Paper](https://arxiv.org/pdf/2306.04300.pdf)| 60 | |Semi-Supervised Semantic Segmentation via Marginal Contextual Information| S4MC | Arxiv 2023|PASCAL VOC 2012, Cityscapes| [Code](https://github.com/s4mcontext/s4mc)![Github stars](https://img.shields.io/github/stars/s4mcontext/s4mc)|[Paper](https://arxiv.org/pdf/2308.13900)| 61 | |Semi-supervised Semantic Segmentation via Boosting Uncertainty on Unlabeled Data||Arxiv 2023| PASCAL VOC 2012, Cityscapes||[Paper](https://arxiv.org/pdf/2311.18758.pdf)| 62 | |Triple-View Knowledge Distillation for Semi-Supervised Semantic Segmentation|Tri-KD| Arxiv 2023| PASCAL VOC 2012, Cityscapes|-|[Paper](https://arxiv.org/pdf/2309.12557.pdf)| 63 | |Space Engage: Collaborative Space Supervision for Contrastive-based Semi-Supervised Semantic Segmentation|CSS|Arxiv 2023|PASCAL VOC 2012, Cityscapes|-|[Paper](https://arxiv.org/pdf/2307.09755.pdf)| 64 | |CAFS: Class Adaptive Framework for Semi-Supervised Semantic Segmentation|CAFS|Arxiv 2023|PASCAL VOC 2012, Cityscapes|[Code](https://github.com/cjf8899/CAFS)![Github stars](https://img.shields.io/github/stars/cjf8899/CAFS)|[Paper](https://arxiv.org/pdf/2303.11606.pdf)| 65 | |Revisiting Image Reconstruction for Semi-supervised Semantic Segmentation| FOrec | Arxiv 2023| PASCAL VOC 2012, Cityscapes|-|[Paper](https://arxiv.org/pdf/2303.09794.pdf)| 66 | |Semi-supervised Semantic Segmentation Meets Masked Modeling:Fine-grained Locality Learning Matters in Consistency Regularization| MaskMatch| Arxiv 2023| PASCAL VOC 2012, Cityscapes|-|[Paper](https://arxiv.org/pdf/2312.08631)| 67 | |Decoupling with Entropy-based Equalization for Semi-Supervised Semantic Segmentation| DeS4 |IJCAI 2023| PASCAL VOC 2012, Cityscapes|-|[Paper](https://www.ijcai.org/proceedings/2023/0074.pdf)| 68 | |Switching Temporary Teachers for Semi-Supervised Semantic Segmentation| | NeurIPS 2023 | PASCAL VOC 2012, Cityscapes|-|[Paper](https://arxiv.org/pdf/2310.18640.pdf)| 69 | |DAW: Exploring the Better Weighting Function for Semi-supervised Semantic Segmentation|DAW| NeurIPS 2023|PASCAL VOC 2012, Cityscapes|-|[Paper](https://openreview.net/pdf?id=KRlG7NJUCD)| 70 | |Improving Semi-Supervised Semantic Segmentation with Dual-Level Siamese Structure Network|DSSN|ACM MM 2023|PASCAL VOC 2012, Cityscapes|-|[Paper](https://arxiv.org/pdf/2307.13938.pdf)| 71 | |Enhanced Soft Label for Semi-Supervised Semantic Segmentation|ESL| ICCV 2023|PASCAL VOC 2012, Cityscapes|-|[Paper](https://openaccess.thecvf.com/content/ICCV2023/papers/Ma_Enhanced_Soft_Label_for_Semi-Supervised_Semantic_Segmentation_ICCV_2023_paper.pdf)| 72 | |Locating Noise is Halfway Denoising for Semi-Supervised Segmentation| UPL | ICCV 2023| PASCAL VOC 2012, Cityscapes|-|[Paper](https://openaccess.thecvf.com/content/ICCV2023/papers/Fang_Locating_Noise_is_Halfway_Denoising_for_Semi-Supervised_Segmentation_ICCV_2023_paper.pdf)| 73 | |Diverse Cotraining Makes Strong Semi-Supervised Segmentor| | ICCV 2023| PASCAL VOC 2012, Cityscapes | [Code](https://github.com/williamium3000/diverse-cotraining)![Github stars](https://img.shields.io/github/stars/williamium3000/diverse-cotraining)|[Paper](https://arxiv.org/pdf/2308.09281)| 74 | |Logic-induced Diagnostic Reasoning for Semi-supervised Semantic Segmentation|LogicDiag|ICCV 2023|PASCAL VOC 2012, Cityscapes, MS COCO|-|[Paper](https://arxiv.org/pdf/2308.12595)| 75 | |CFCG: Semi-Supervised Semantic Segmentation via Cross-Fusion and Contour Guidance Supervision| CFCG|ICCV 2023| PASCAL VOC 2012, Cityscapes|-| [Paper](https://openaccess.thecvf.com/content/ICCV2023/papers/Li_CFCG_Semi-Supervised_Semantic_Segmentation_via_Cross-Fusion_and_Contour_Guidance_Supervision_ICCV_2023_paper.pdf)| 76 | |Semi-Supervised Semantic Segmentation With Region Relevance|RRN|ICME 2023| PASCAL VOC 2012, Cityscapes|[Code](https://github.com/NUST-Machine-Intelligence-Laboratory/TorchSemiSeg2)![Github stars](https://img.shields.io/github/stars/NUST-Machine-Intelligence-Laboratory/TorchSemiSeg2)|[Paper](https://arxiv.org/pdf/2304.11539.pdf)| 77 | |NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation|NP-SemiSeg|ICML 2023|PASCAL VOC 2012, Cityscapes|[Code](https://github.com/Jianf-Wang/NP-SemiSeg)![Github stars](https://img.shields.io/github/stars/Jianf-Wang/NP-SemiSeg)|[Paper](https://proceedings.mlr.press/v202/wang23x/wang23x.pdf)| 78 | |Instance-Specific and Model-Adaptive Supervision for Semi-Supervised Semantic Segmentation|iMAS|CVPR 2023|PASCAL VOC 2012, Cityscapes|[Code](https://github.com/ZhenZHAO/iMAS)![Github stars](https://img.shields.io/github/stars/ZhenZHAO/iMAS)|[Paper](https://arxiv.org/pdf/2211.11335.pdf)| 79 | |Hunting Sparsity: Density-Guided Contrastive Learning for Semi-Supervised Semantic Segmentation|DGCL|CVPR 2023|PASCAL VOC 2012, Cityscapes|-|[Paper](https://openaccess.thecvf.com/content/CVPR2023/papers/Wang_Hunting_Sparsity_Density-Guided_Contrastive_Learning_for_Semi-Supervised_Semantic_Segmentation_CVPR_2023_paper.pdf)| 80 | |Fuzzy Positive Learning for Semi-supervised Semantic Segmentation| FPL| CVPR 2023|PASCAL VOC 2012, Cityscapes|[Code](https://github.com/qpc1611094/FPL)![Github stars](https://img.shields.io/github/stars/qpc1611094/FPL)|[Paper](https://arxiv.org/pdf/2210.08519.pdf)| 81 | |Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation| UniMatch|CVPR 2023|PASCAL VOC 2012, Cityscapes, MS COCO|[Code](https://github.com/LiheYoung/UniMatch)![Github stars](https://img.shields.io/github/stars/LiheYoung/UniMatch)| [Paper](https://arxiv.org/pdf/2208.09910.pdf)| 82 | |Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised Semantic Segmentation| AugSeg|CVPR 2023| PASCAL VOC 2012, Cityscapes|[Code](https://github.com/ZhenZHAO/AugSeg)![Github stars](https://img.shields.io/github/stars/ZhenZHAO/AugSeg)|[Paper](https://arxiv.org/pdf/2212.04976.pdf)| 83 | |Conflict-Based Cross-View Consistency for Semi-Supervised Semantic Segmentation|CCVC|CVPR 2023|PASCAL VOC 2012, Cityscapes|[Code](https://github.com/xiaoyao3302/CCVC)![Github stars](https://img.shields.io/github/stars/xiaoyao3302/CCVC)|[Paper](https://arxiv.org/pdf/2303.01276.pdf)| 84 | |SemiCVT: Semi-Supervised Convolutional Vision Transformer for Semantic Segmentation|SemiCVT| CVPR 2023| PASCAL VOC 2012, Cityscapes|-|[Paper](https://openaccess.thecvf.com/content/CVPR2023/papers/Huang_SemiCVT_Semi-Supervised_Convolutional_Vision_Transformer_for_Semantic_Segmentation_CVPR_2023_paper.pdf)| 85 | |Conservative-Progressive Collaborative Learning for Semi-supervised Semantic Segmentation|CPCL|TIP 2023|PASCAL VOC 2012, Cityscapes|-|[Paper](https://arxiv.org/pdf/2211.16701.pdf)| 86 | Querying Labeled for Unlabeled: Cross-Image Semantic Consistency Guided Semi-Supervised Semantic Segmentation| CISC-R|TPAMI 2023|PASCAL VOC 2012, Cityscapes, MS COCO|[Code](https://github.com/Luffy03/CISC-R)![Github stars](https://img.shields.io/github/stars/Luffy03/CISC-R)|[Paper](https://ieeexplore.ieee.org/document/10005033)| 87 | 88 | 89 | ## 2022 90 | | Title| Abbreviation| Published |   Dataset  | CODE | PDF | 91 | | :---------| :------------------------------:| :----------------------: | :-------------------------------------------------------------------------:| :--------------------: | :--------------- | 92 | |Transformer-CNN Cohort: Semi-supervised Semantic Segmentation by the Best of Both Students | TCC|Arxiv 2022|PASCAL VOC 2012, Cityscapes|-|[Paper](https://arxiv.org/pdf/2209.02178.pdf)| 93 | |Multi-View Correlation Consistency for Semi-Supervised Semantic Segmentation|MVCC|Arxiv 2022|PASCAL VOC 2012, Cityscapes|-|[Paper](https://arxiv.org/pdf/2208.08437.pdf)| 94 | |Pseudo-Label Noise Suppression Techniques for Semi-Supervised Semantic Segmentation|-|BMVC 2022|PASCAL VOC 2012, Cityscapes, Mapillary|[Code](https://github.com/ChristmasFan/SSL_Denoising_Segmentation)![Github stars](https://img.shields.io/github/stars/ChristmasFan/SSL_Denoising_Segmentation)|[Paper](https://arxiv.org/pdf/2210.10426.pdf)| 95 | |Semantic Segmentation with Active Semi-Supervised Representation Learning|-|BMVC 2022|Cityscapes, CamVid|-|[Paper](https://arxiv.org/pdf/2210.08403.pdf)| 96 | |CARD: Semi-supervised Semantic Segmentation via Class-agnostic Relation based Denoising| CARD|IJCAI 2022|PASCAL VOC 2012, Cityscapes|-|[Paper](https://www.ijcai.org/proceedings/2022/0202.pdf)| 97 | |Semi-supervised Semantic Segmentation with Prototype-based Consistency Regularization|PCR|NeurIPS 2022|PASCAL VOC 2012, Cityscapes|[Code](https://github.com/HeimingX/semi_seg_proto)![Github stars](https://img.shields.io/github/stars/HeimingX/semi_seg_proto)|[Paper](https://arxiv.org/pdf/2210.04388.pdf)| 98 | |Learning from Future: A Novel Self-Training Framework for Semantic Segmentation|FST| NeurIPS 2022|PASCAL VOC 2012| [Code](https://github.com/usr922/FST)![Github stars](https://img.shields.io/github/stars/usr922/FST)|[Paper](https://arxiv.org/pdf/2209.06993.pdf)| 99 | |Semi-Supervised Semantic Segmentation via Gentle Teaching Assistant|GTA|NeurIPS 2022|PASCAL VOC 2012, Cityscapes|[Code](https://github.com/Jin-Ying/GTA-Seg)![Github stars](https://img.shields.io/github/stars/Jin-Ying/GTA-Seg)|[Paper](https://arxiv.org/pdf/2301.07340)| 100 | |Semi-supervised 3D shape segmentation with multilevel consistency and part substitution|-|CVM 2022|PartNet, ShapeNetPart, ScanNet|[Code](https://github.com/isunchy/semi_supervised_3d_segmentation)![Github stars](https://img.shields.io/github/stars/isunchy/semi_supervised_3d_segmentation)|[Paper](https://arxiv.org/pdf/2204.08824.pdf)| 101 | |Semi-Supervised Semantic Segmentation with Cross Teacher Training|CTT|Neurocomputing 2022|PASCAL VOC 2012, Cityscapes|-|[Paper](https://arxiv.org/pdf/2209.01327.pdf)| 102 | |Region-level Contrastive and Consistency Learning for Semi-Supervised Semantic Segmentation|RC2L|IJCAI 2022|PASCAL VOC 2012, Cityscapes|-|[Paper](https://arxiv.org/pdf/2204.13314.pdf)| 103 | |One Weird Trick to Improve Your Semi-Weakly Supervised Semantic Segmentation Model|-|IJCAI 2022|PASCAL VOC 2012|-|[Paper](https://arxiv.org/pdf/2205.01233.pdf)| 104 | |Multi-Granularity Distillation Scheme Towards Lightweight Semi-Supervised Semantic Segmentation|MGD |ECCV 2022|PASCAL VOC 2012, Cityscapes|-|[Paper](https://arxiv.org/pdf/2208.10169.pdf)| 105 | |Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic Segmentation|SLRNet|IJCV 2022| Pascal VOC 2012, L2ID, MS COCO |[Code](https://github.com/DesertsP/SLRNet)![Github stars](https://img.shields.io/github/stars/DesertsP/SLRNet)|[Paper](https://arxiv.org/pdf/2203.10278.pdf)| 106 | |Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels |U2PL |CVPR 2022 |PASCAL VOC 2012 | [Code](https://github.com/Haochen-Wang409/U2PL)![Github stars](https://img.shields.io/github/stars/Haochen-Wang409/U2PL)| [Paper](https://arxiv.org/pdf/2203.03884.pdf)| 107 | |Semi-supervised Semantic Segmentation with Error Localization Network | ELN |CVPR 2022| PASCAL VOC 2012, Cityscapes| [Code](https://github.com/kinux98/SSL_ELN)![Github stars](https://img.shields.io/github/stars/kinux98/SSL_ELN)|[Paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Kwon_Semi-Supervised_Semantic_Segmentation_With_Error_Localization_Network_CVPR_2022_paper.pdf)| 108 | |UCC: Uncertainty guided Cross-head Co-training for Semi-Supervised Semantic Segmentation| UCC|CVPR 2022|PASCAL VOC 2012, Cityscapes|-|[Paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Fan_UCC_Uncertainty_Guided_Cross-Head_Co-Training_for_Semi-Supervised_Semantic_Segmentation_CVPR_2022_paper.pdf)| 109 | |Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation|PS-MT | CVPR 2022|PASCAL VOC 2012, Cityscapes|[Code](https://github.com/yyliu01/ps-mt)![Github stars](https://img.shields.io/github/stars/yyliu01/ps-mt)|[Paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Liu_Perturbed_and_Strict_Mean_Teachers_for_Semi-Supervised_Semantic_Segmentation_CVPR_2022_paper.pdf)| 110 | |Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation|USRN|CVPR 2022|PASCAL VOC 2012, Cityscapes|[Code](https://github.com/Dayan-Guan/USRN)![Github stars](https://img.shields.io/github/stars/Dayan-Guan/USRN)|[Paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Guan_Unbiased_Subclass_Regularization_for_Semi-Supervised_Semantic_Segmentation_CVPR_2022_paper.pdf)| 111 | |ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation|ST/ST++| CVPR 2022|PASCAL VOC 2012, Cityscapes|[Code](https://github.com/LiheYoung/ST-PlusPlus)![Github stars](https://img.shields.io/github/stars/LiheYoung/ST-PlusPlus)|[Paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Yang_ST_Make_Self-Training_Work_Better_for_Semi-Supervised_Semantic_Segmentation_CVPR_2022_paper.pdf)| 112 | |Semi-Supervised Video Semantic Segmentation with Inter-Frame Feature Reconstruction| IRF | CVPR 2022| Cityscapes, CamVid| [Code](https://github.com/jfzhuang/IFR)![Github stars](https://img.shields.io/github/stars/jfzhuang/IFR)|[Paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Zhuang_Semi-Supervised_Video_Semantic_Segmentation_With_Inter-Frame_Feature_Reconstruction_CVPR_2022_paper.pdf)| 113 | |Noisy Boundaries: Lemon or Lemonade for Semi-supervised Instance Segmentation?|-|CVPR 2022| Cityscapes, MS COCO,BDD100K|[Code](https://github.com/zhenyuw16/noisyboundaries)![Github stars](https://img.shields.io/github/stars/zhenyuw16/noisyboundaries)|[Paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Wang_Noisy_Boundaries_Lemon_or_Lemonade_for_Semi-Supervised_Instance_Segmentation_CVPR_2022_paper.pdf)| 114 | |TWIST: Two-Way Inter-label Self-Training for Semi-supervised 3D Instance Segmentation|TWIST |CVPR 2022|ScanNet v2, S3DIS| - |[Paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Chu_TWIST_Two-Way_Inter-Label_Self-Training_for_Semi-Supervised_3D_Instance_Segmentation_CVPR_2022_paper.pdf) 115 | |Adversarial Dual-Student with Differentiable Spatial Warping for Semi-Supervised Semantic Segmentation|ADS|TCSVT 2022| PASCAL VOC 2012, Cityscapes|[Code](https://github.com/cao-cong/ADS-SemiSeg)![Github stars](https://img.shields.io/github/stars/cao-cong/ADS-SemiSeg)|[Paper](https://arxiv.org/pdf/2203.02792.pdf)| 116 | |Semi-supervision semantic segmentation with uncertainty-guided self cross supervision|USCS|Arxiv 2022|PASCAL VOC 2012|-|[Paper](https://arxiv.org/pdf/2203.05118.pdf)| 117 | |GuidedMix-Net: Semi-supervised Semantic Segmentation by Using Labeled Images as Reference| GuidedMix-Net|AAAI 2022|PASCAL VOC 2012, Cityscapes|-|[Paper](https://arxiv.org/pdf/2112.14015)| 118 | |Active Learning for Improved Semi-Supervised Semantic Segmentation in Satellite Images|-|WACV 2022|UCM, deepglobe|[Code](https://github.com/immuno121/ALS4GAN)![Github stars](https://img.shields.io/github/stars/immuno121/ALS4GAN)|[Paper](https://arxiv.org/pdf/2110.07782.pdf)| 119 | |The GIST and RIST of Iterative Self-Training for Semi-Supervised Segmentation|GIST RIST|CRV 2022|PASCAL VOC 2012, Cityscapes|-|[Paper](https://arxiv.org/pdf/2103.17105.pdf)| 120 | |Learning Pseudo Labels for Semi-and-Weakly Supervised Semantic Segmentation|-|PR 2022|PASCAL VOC 2012, PASCAL-Context|[Code](https://github.com/YudeWang/Learning-Pseudo-Label)![Github stars](https://img.shields.io/github/stars/YudeWang/Learning-Pseudo-Label)|[Paper](https://www.sciencedirect.com/science/article/abs/pii/S003132032200406X)| 121 | 122 | ## 2021 123 | 124 | | Title| Abbreviation| Published |   Dataset  | CODE | PDF | 125 | | :---------| :------------------------------:| :----------------------: | :-------------------------------------------------------------------------:| :--------------------: | :--------------- | 126 | |n-CPS: Generalising Cross Pseudo Supervision to n Networks for Semi-Supervised Semantic Segmentation|n-CPS|Arxiv 2021|PASCAL VOC 2012, Cityscapes|-|[Paper](https://arxiv.org/pdf/2112.07528.pdf)| 127 | |Revisiting consistency for semi-supervised semantic segmentation|-|Arxiv 2021|Cityscapes|-|[Paper](https://arxiv.org/pdf/2106.07075.pdf)| 128 | |Robust Mutual Learning for Semi-supervised Semantic Segmentation|-|Arxiv 2021|PASCAL VOC 2012, Cityscapes|-|[Paper](https://arxiv.org/pdf/2106.00609.pdf)| 129 | |Mask-based Data Augmentation for Semi-supervised Semantic Segmentation| ComplexMix |Arxiv 2021|Cityscapes|-|[Paper](https://arxiv.org/pdf/2101.10156.pdf)| 130 | |Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning|AEL|NeurIPS 2021|PASCAL VOC 2012, Cityscapes|[Code](https://github.com/hzhupku/SemiSeg-AEL)![Github stars](https://img.shields.io/github/stars/immuno121/ALS4GAN)|[Paper](https://arxiv.org/pdf/2110.05474.pdf)| 131 | |Colour augmentation for improved semi-supervised semantic segmentation|-|Arxiv 2021|PASCAL VOC 2012, Cityscapes|-|[Paper](https://arxiv.org/pdf/2110.04487.pdf)| 132 | | C3-SemiSeg: Contrastive Semi-supervised Segmentation via Cross-set Learning and Dynamic Class-balancing|C3-SemiSeg|ICCV 2021|Cityscapes, BDD100K|[Code](https://github.com/SIAAAAAA/C3-SemiSeg)![Github stars](https://img.shields.io/github/stars/SIAAAAAA/C3-SemiSeg)|[Paper](https://openaccess.thecvf.com/content/ICCV2021/papers/Zhou_C3-SemiSeg_Contrastive_Semi-Supervised_Segmentation_via_Cross-Set_Learning_and_Dynamic_Class-Balancing_ICCV_2021_paper.pdf)| 133 | |A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation|-|ICCV 2021|PASCAL VOC 2012, Cityscapes|[Code](https://github.com/jianlong-yuan/SimpleBaseline)![Github stars](https://img.shields.io/github/stars/jianlong-yuan/SimpleBaseline)|[Paper](https://arxiv.org/pdf/2104.07256.pdf)| 134 | |Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory Bank|-|ICCV 2021|PASCAL VOC 2012, Cityscapes|[Code](https://github.com/Shathe/SemiSeg-Contrastive)![Github stars](https://img.shields.io/github/stars/Shathe/SemiSeg-Contrastive)|[Paper](https://arxiv.org/pdf/2104.13415.pdf)| 135 | |Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation|P2Seg|ICCV 2021|PASCAL VOC 2012, Cityscapes, MS COCO|-|[Paper](https://arxiv.org/pdf/2108.09025.pdf)| 136 | |Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation|DARS|ICCV 2021|PASCAL VOC 2012, Cityscapes|[Code](https://github.com/CVMI-Lab/DARS)![Github stars](https://img.shields.io/github/stars/CVMI-Lab/DARS)|[Paper](https://arxiv.org/pdf/2107.11279.pdf)| 137 | |Warp-Refine Propagation: Semi-Supervised Auto-labeling via Cycle-consistency|-|ICCV 2021|CityScapes, NYU, KITTI, ApolloScape|-|[Paper](https://arxiv.org/pdf/2109.13432.pdf)| 138 | |Semi-supervised Semantic Segmentation with Directional Context-aware Consistency|-|CVPR 2021|PASCAL VOC 2012, Cityscapes|[Code](https://github.com/dvlab-research/Context-Aware-Consistency)![Github stars](https://img.shields.io/github/stars/dvlab-research/Context-Aware-Consistency)|[Paper](https://arxiv.org/pdf/2106.14133.pdf)| 139 | |Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision|CPS|CVPR 2021|PASCAL VOC 2012, Cityscapes|[Code](https://github.com/charlesCXK/TorchSemiSeg)![Github stars](https://img.shields.io/github/stars/charlesCXK/TorchSemiSeg)|[Paper](https://arxiv.org/pdf/2106.01226.pdf)| 140 | |Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation|-|CVPR 2021|PASCAL VOC 2012|[Code](https://github.com/jbeomlee93/AdvCAM)![Github stars](https://img.shields.io/github/stars/jbeomlee93/AdvCAM)|[Paper](https://arxiv.org/pdf/2103.08896.pdf)| 141 | |Semi-supervised Domain Adaptation based on Dual-level Domain Mixing for Semantic Segmentation|-|CVPR 2021|Cityscapes, GTA5, SYNTHIA|-|[Paper](https://arxiv.org/pdf/2103.04705.pdf)| 142 | |Learning from Pixel-Level Label Noise: A New Perspective for Semi-Supervised Semantic Segmentation|-|TIP 2021|PASCAL VOC 2012, PASCAL-Context, Cityscapes|-|[Paper](https://arxiv.org/pdf/2103.14242)| 143 | |A Three-Stage Self-Training Framework for Semi-Supervised Semantic Segmentation|-|TIP 2021|PASCAL VOC 2012, Cityscapes|-|[Paper](https://arxiv.org/pdf/2012.00827.pdf)| 144 | |PseudoSeg: Designing Pseudo Labels for Semantic Segmentation|PseudoSeg|ICLR 2021|PASCAL VOC 2012, MS COCO|[Code](https://github.com/googleinterns/wss)![Github stars](https://img.shields.io/github/stars/googleinterns/wss)|[Paper](https://arxiv.org/pdf/2010.09713.pdf)| 145 | |ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning|ClassMix|WACV 2021|PASCAL VOC 2012, Cityscapes|[Code](https://github.com/WilhelmT/ClassMix)![Github stars](https://img.shields.io/github/stars/WilhelmT/ClassMix)|[Paper](https://arxiv.org/pdf/2007.07936.pdf)| 146 | 147 | 148 | 149 | ## 2020 ( Under construction ) 150 | | Title | Abbreviation | Published |   Dataset  | CODE | PDF | 151 | | :---------| :------------------------------:| :----------------------: | :-------------------------------------------------------------------------:| :--------------------: | :--------------- | 152 | |Semi-Supervised Semantic Segmentation with Cross-Consistency Training|CCT|CVPR 2020|PASCAL VOC 2012, Cityscapes, CamVid|[Code](https://github.com/yassouali/CCT)![Github stars](https://img.shields.io/github/stars/yassouali/CCT)|[Paper](https://arxiv.org/pdf/2003.09005.pdf)| 153 | |Semi-Supervised Semantic Image Segmentation with Self-correcting Networks|-|CVPR 2020|PASCAL VOC 2012, Cityscapes|-|[Paper](https://arxiv.org/pdf/1811.07073.pdf)| 154 | |A Three-Stage Self-Training Framework for Semi-Supervised Semantic Segmentation|-|CVPR 2020|PASCAL VOC 2012, Cityscapes|-|[Paper](https://arxiv.org/pdf/2012.00827.pdf)| 155 | |Guided Collaborative Training for Pixel-wise Semi-Supervised Learning|GCT|ECCV 2020|Pascal VOC 2012|[Code](https://github.com/ZHKKKe/PixelSSL)![Github stars](https://img.shields.io/github/stars/ZHKKKe/PixelSSL)|[Paper](https://arxiv.org/pdf/2008.05258.pdf)| 156 | |Semi-supervised semantic segmentation needs strong, varied perturbations|CutMix|BMVC2020|PASCAL VOC 2012, Cityscapes, ISIC 2017|[Code](https://github.com/Britefury/cutmix-semisup-seg)![Github stars](https://img.shields.io/github/stars/Britefury/cutmix-semisup-seg)|[Paper](https://arxiv.org/pdf/1906.01916.pdf)| 157 | 158 | ## Citation 159 | 160 | If you find our repo useful for your research, please consider citing our paper: 161 | 162 | ```bibtex 163 | @article{sun2023corrmatch, 164 | title={CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation}, 165 | author={Sun, Boyuan and Yang, Yuqi and Zhang, Le and Cheng, Ming-Ming and Hou, Qibin}, 166 | journal={IEEE Computer Vision and Pattern Recognition (CVPR)}, 167 | year={2024} 168 | } 169 | ``` 170 | 171 | --------------------------------------------------------------------------------