{"id":46000,"url":"https://github.com/BBBBchan/Awesome-Semi-Supervised-Semantic-Segmentation","name":"Awesome-Semi-Supervised-Semantic-Segmentation","description":"A summary of recent semi-supervised semantic segmentation methods","projects_count":119,"last_synced_at":"2026-09-30T16:00:25.819Z","repository":{"id":154221579,"uuid":"546107297","full_name":"BBBBchan/Awesome-Semi-Supervised-Semantic-Segmentation","owner":"BBBBchan","description":"A summary of recent semi-supervised semantic segmentation methods","archived":false,"fork":false,"pushed_at":"2026-07-07T11:33:28.000Z","size":405,"stargazers_count":285,"open_issues_count":0,"forks_count":27,"subscribers_count":4,"default_branch":"main","last_synced_at":"2026-09-10T19:53:19.237Z","etag":null,"topics":["semantic-segmentation","semi-supervised-learning","semi-supervised-segmentation"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/BBBBchan.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2022-10-05T14:34:59.000Z","updated_at":"2026-08-29T09:33:55.000Z","dependencies_parsed_at":null,"dependency_job_id":"081d2561-609f-4568-8404-e9f5cf229aae","html_url":"https://github.com/BBBBchan/Awesome-Semi-Supervised-Semantic-Segmentation","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/BBBBchan/Awesome-Semi-Supervised-Semantic-Segmentation","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BBBBchan%2FAwesome-Semi-Supervised-Semantic-Segmentation","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BBBBchan%2FAwesome-Semi-Supervised-Semantic-Segmentation/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BBBBchan%2FAwesome-Semi-Supervised-Semantic-Segmentation/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BBBBchan%2FAwesome-Semi-Supervised-Semantic-Segmentation/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/BBBBchan","download_url":"https://codeload.github.com/BBBBchan/Awesome-Semi-Supervised-Semantic-Segmentation/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BBBBchan%2FAwesome-Semi-Supervised-Semantic-Segmentation/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":342085742,"owners_count":37881029,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-08-22T15:14:58.755Z","status":"online","status_checked_at":"2026-09-30T02:00:06.001Z","response_time":133,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"created_at":"2024-01-14T02:18:14.229Z","updated_at":"2026-09-30T16:00:25.819Z","primary_language":null,"list_of_lists":false,"displayable":true,"categories":["2023","2022","2021","2020 ( Under construction )","2024","2025","2026"],"sub_categories":[],"readme":"# Awesome-Semi-Supervised-Semantic-Segmentation \n\n[![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome)\n[![Maintenance](https://img.shields.io/badge/Maintained%3F-yes-green.svg)](https://github.com/BBBBchan/Awesome-Semi-Supervised-Semantic-Segmentation/graphs/commit-activity)\n\nThis 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! \n\n\n*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).\n\n## 2026\n| Title| Abbreviation| Published | \u0026emsp;\u0026emsp;Dataset\u0026emsp;\u0026emsp;| CODE | PDF             |\n| :---------| :------------------------------:| :----------------------: | :-------------------------------------------------------------------------:| :--------------------: |  :--------------- |\n|Clean-Positive Contrastive Learning for Foundation-Model Semi-Supervised Segmentation|PixCon|Arxiv 2026|PASCAL VOC 2012, Cityscapes, ADE20k|[Code](https://github.com/psychofict/PixCon)![Github stars](https://img.shields.io/github/stars/psychofict/PixCon)| [Paper](https://arxiv.org/pdf/2607.03068)|\n\n## 2025\n| Title| Abbreviation| Published | \u0026emsp;\u0026emsp;Dataset\u0026emsp;\u0026emsp;| CODE | PDF             |\n| :---------| :------------------------------:| :----------------------: | :-------------------------------------------------------------------------:| :--------------------: |  :--------------- |\n|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)|\n|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)|\n|Rethinking Semi-supervised Segmentation Beyond Accuracy: Reliability and Robustness|RSS| Arxiv 2025|PASCAL VOC 2012, Cityscapes| - | [Paper](https://arxiv.org/pdf/2504.06958)|\n|Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation|ASAug| Arxiv 2025|PASCAL VOC 2012, Cityscapes, MS COCO | - |[Paper](https://arxiv.org/pdf/2505.23438) |\n|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)|\n|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)|\n|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) |\n|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)|\n|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)|\n|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)|\n|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) |\n|Knowledge Consultation for Semi-Supervised Semantic Segmentation|SegKC| Arxiv 2025| PASCAL VOC 2012, Cityscapes| -| [paper](https://arxiv.org/pdf/2503.10693)|\n|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) |\n|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) |\n|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)|\n|Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation|DUEB|WACV 2025|PASCAL VOC 2012, Cityscapes|-|[Paper](https://arxiv.org/pdf/2501.01640)|\n|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)|\n|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)|\n\n## 2024\n| Title| Abbreviation| Published | \u0026emsp;\u0026emsp;Dataset\u0026emsp;\u0026emsp;| CODE | PDF             |\n| :---------| :------------------------------:| :----------------------: | :-------------------------------------------------------------------------:| :--------------------: |  :--------------- |\n|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)|\n|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)|\n|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)|\n|IPixMatch: Boost Semi-supervised Semantic Segmentation with Inter-Pixel Relation|IPixMatch| Arxiv 2024|PASCAL VOC 2012, Cityscapes|-|[Paper](https://arxiv.org/pdf/2404.18891)|\n|PRCL: Probabilistic Representation Contrastive Learning for Semi-Supervised Semantic Segmentation|PRCL| Arxiv 2024|PASCAL VOC 2012, Cityscapes|-|[Paper](https://arxiv.org/pdf/2402.18117)|\n|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)|\n|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)|\n|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)|\n|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)|\n|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)|\n|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)|\n|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)|\n|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)|\n|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)|\n|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)|\n|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)|\n|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)|\n|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)|\n\n\n## 2023\n| Title| Abbreviation| Published | \u0026emsp;\u0026emsp;Dataset\u0026emsp;\u0026emsp;| CODE | PDF             |\n| :---------| :------------------------------:| :----------------------: | :-------------------------------------------------------------------------:| :--------------------: |  :--------------- |\n|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)|\n|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)|\n|Semi-supervised Semantic Segmentation via Boosting Uncertainty on Unlabeled Data||Arxiv 2023| PASCAL VOC 2012, Cityscapes||[Paper](https://arxiv.org/pdf/2311.18758.pdf)|\n|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)|\n|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)|\n|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)|\n|Revisiting Image Reconstruction for Semi-supervised Semantic Segmentation| FOrec | Arxiv 2023| PASCAL VOC 2012, Cityscapes|-|[Paper](https://arxiv.org/pdf/2303.09794.pdf)|\n|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)|\n|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)|\n|Switching Temporary Teachers for Semi-Supervised Semantic Segmentation| | NeurIPS 2023 | PASCAL VOC 2012, Cityscapes|-|[Paper](https://arxiv.org/pdf/2310.18640.pdf)|\n|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)|\n|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)|\n|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)|\n|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)|\n|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)|\n|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)|\n|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)|\n|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)|\n|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)|\n|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)|\n|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)|\n|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)|\n|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)|\n|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)|\n|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)|\n|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)|\n|Conservative-Progressive Collaborative Learning for Semi-supervised Semantic Segmentation|CPCL|TIP 2023|PASCAL VOC 2012, Cityscapes|-|[Paper](https://arxiv.org/pdf/2211.16701.pdf)| \nQuerying 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)|\n\n\n## 2022\n| Title| Abbreviation| Published | \u0026emsp;\u0026emsp;Dataset\u0026emsp;\u0026emsp;| CODE | PDF             |\n| :---------| :------------------------------:| :----------------------: | :-------------------------------------------------------------------------:| :--------------------: |  :--------------- |  \n|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)|\n|Multi-View Correlation Consistency for Semi-Supervised Semantic Segmentation|MVCC|Arxiv 2022|PASCAL VOC 2012, Cityscapes|-|[Paper](https://arxiv.org/pdf/2208.08437.pdf)|\n|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)|\n|Semantic Segmentation with Active Semi-Supervised Representation Learning|-|BMVC 2022|Cityscapes, CamVid|-|[Paper](https://arxiv.org/pdf/2210.08403.pdf)|\n|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)|\n|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)|\n|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)|\n|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)|\n|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)|\n|Semi-Supervised Semantic Segmentation with Cross Teacher Training|CTT|Neurocomputing 2022|PASCAL VOC 2012, Cityscapes|-|[Paper](https://arxiv.org/pdf/2209.01327.pdf)|\n|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)|\n|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)|\n|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)|\n|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)|\n|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)|\n|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)|\n|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)|\n|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)|\n|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)|\n|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)|\n|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)|\n|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)|\n|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)\n|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)|\n|Semi-supervision semantic segmentation with uncertainty-guided self cross supervision|USCS|Arxiv 2022|PASCAL VOC 2012|-|[Paper](https://arxiv.org/pdf/2203.05118.pdf)|\n|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)|\n|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)|\n|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)|\n|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)|\n\n## 2021\n\n| Title| Abbreviation| Published | \u0026emsp;\u0026emsp;Dataset\u0026emsp;\u0026emsp;| CODE | PDF             |\n| :---------| :------------------------------:| :----------------------: | :-------------------------------------------------------------------------:| :--------------------: |  :--------------- |  \n|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)|\n|Revisiting consistency for semi-supervised semantic segmentation|-|Arxiv 2021|Cityscapes|-|[Paper](https://arxiv.org/pdf/2106.07075.pdf)|\n|Robust Mutual Learning for Semi-supervised Semantic Segmentation|-|Arxiv 2021|PASCAL VOC 2012, Cityscapes|-|[Paper](https://arxiv.org/pdf/2106.00609.pdf)|\n|Mask-based Data Augmentation for Semi-supervised Semantic Segmentation| ComplexMix |Arxiv 2021|Cityscapes|-|[Paper](https://arxiv.org/pdf/2101.10156.pdf)|\n|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)|\n|Colour augmentation for improved semi-supervised semantic segmentation|-|Arxiv 2021|PASCAL VOC 2012, Cityscapes|-|[Paper](https://arxiv.org/pdf/2110.04487.pdf)|\n| 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)|\n|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)|\n|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)|\n|Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation|P2Seg|ICCV 2021|PASCAL VOC 2012, Cityscapes, MS COCO|-|[Paper](https://arxiv.org/pdf/2108.09025.pdf)|\n|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)|\n|Warp-Refine Propagation: Semi-Supervised Auto-labeling via Cycle-consistency|-|ICCV 2021|CityScapes, NYU, KITTI, ApolloScape|-|[Paper](https://arxiv.org/pdf/2109.13432.pdf)|\n|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)|\n|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)|\n|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)|\n|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)|\n|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)|\n|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)|\n|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)|\n|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)|\n\n\n\n## 2020 ( Under construction )\n| Title | Abbreviation |  Published  | \u0026emsp;\u0026emsp;Dataset\u0026emsp;\u0026emsp;| CODE | PDF             |\n| :---------| :------------------------------:| :----------------------: | :-------------------------------------------------------------------------:| :--------------------: |  :--------------- |\n|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)|\n|Semi-Supervised Semantic Image Segmentation with Self-correcting Networks|-|CVPR 2020|PASCAL VOC 2012, Cityscapes|-|[Paper](https://arxiv.org/pdf/1811.07073.pdf)|\n|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)|\n|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)|\n|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)|\n\n## Citation\n\nIf you find our repo useful for your research, please consider citing our paper:\n\n```bibtex\n@article{sun2023corrmatch,\n  title={CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation},\n  author={Sun, Boyuan and Yang, Yuqi and Zhang, Le and Cheng, Ming-Ming and Hou, Qibin},\n  journal={IEEE Computer Vision and Pattern Recognition (CVPR)},\n  year={2024}\n}\n```\n\n","projects_url":"https://awesome.ecosyste.ms/api/v1/lists/bbbbchan%2Fawesome-semi-supervised-semantic-segmentation/projects"}