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https://github.com/BBBBchan/Awesome-Semi-Supervised-Semantic-Segmentation
A summary of recent semi-supervised semantic segmentation methods
https://github.com/BBBBchan/Awesome-Semi-Supervised-Semantic-Segmentation
List: Awesome-Semi-Supervised-Semantic-Segmentation
Last synced: about 2 months ago
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A summary of recent semi-supervised semantic segmentation methods
- Host: GitHub
- URL: https://github.com/BBBBchan/Awesome-Semi-Supervised-Semantic-Segmentation
- Owner: BBBBchan
- Created: 2022-10-05T14:34:59.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2023-12-16T00:44:42.000Z (about 1 year ago)
- Last Synced: 2024-04-12T13:41:50.102Z (8 months ago)
- Homepage:
- Size: 55.7 KB
- Stars: 98
- Watchers: 5
- Forks: 12
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- ultimate-awesome - Awesome-Semi-Supervised-Semantic-Segmentation - A summary of recent semi-supervised semantic segmentation methods. (Other Lists / Monkey C Lists)
README
# Awesome-Semi-Supervised-Semantic-Segmentation
[](https://github.com/sindresorhus/awesome)
[](https://github.com/BBBBchan/Awesome-Semi-Supervised-Semantic-Segmentation/graphs/commit-activity)
This is a summary of recent semi-supervised semantic segmentation methods. Please feel free to contact me ([email protected]) if I miss some papers. Issues and PRs are also welcomed!
*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).
## 2024
| Title| Abbreviation| Published | Dataset | CODE | PDF |
| :---------| :------------------------------:| :----------------------: | :-------------------------------------------------------------------------:| :--------------------: | :--------------- |
|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)|[Paper](https://arxiv.org/pdf/2410.10777)|
|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)|
|Revisiting and Maximizing Temporal Knowledge in Semi-supervised Semantic Segmentation|PrevMatch| Arxiv 2024|PASCAL VOC 2012, Cityscapes, COCO, ADE20k|[Code](https://github.com/wooseok-shin/PrevMatch)|[Paper](https://arxiv.org/abs/2405.20610)|
|IPixMatch: Boost Semi-supervised Semantic Segmentation with Inter-Pixel Relation|IPixMatch| Arxiv 2024|PASCAL VOC 2012, Cityscapes|-|[Paper](https://arxiv.org/pdf/2404.18891)|
|PRCL: Probabilistic Representation Contrastive Learning for Semi-Supervised Semantic Segmentation|PRCL| Arxiv 2024|PASCAL VOC 2012, Cityscapes|-|[Paper](https://arxiv.org/pdf/2402.18117)|
|CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation|CorrMatch|CVPR 2024| PASCAL VOC 2012, Cityscapes|[Code](https://github.com/BBBBchan/CorrMatch)|[Paper](https://arxiv.org/pdf/2306.04300.pdf)|
|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)|
|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)|[Paper](https://arxiv.org/pdf/2403.01818.pdf)|
|RankMatch: Exploring the Better Consistency Regularization for Semi-supervised Semantic Segmentation|RankMatch| CVPR 2024| PASCAL VOC 2012, Cityscapes|[Code](https://github.com/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)|
|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)|
|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)|
|Class Probability Space Regularization for semi-supervised semantic segmentation|CPSR|CVIU 2024|PASCAL VOC 2012, Cityscapes|[Code](https://github.com/PixelSegTech/CPSR)|[Paper](https://doi.org/10.1016/j.cviu.2024.104146)|
## 2023
| Title| Abbreviation| Published | Dataset | CODE | PDF |
| :---------| :------------------------------:| :----------------------: | :-------------------------------------------------------------------------:| :--------------------: | :--------------- |
|CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation|CorrMatch|Arxiv 2023| PASCAL VOC 2012, Cityscapes|[Code](https://github.com/BBBBchan/CorrMatch)|[Paper](https://arxiv.org/pdf/2306.04300.pdf)|
|Semi-Supervised Semantic Segmentation via Marginal Contextual Information| S4MC | Arxiv 2023|PASCAL VOC 2012, Cityscapes| [Code](https://github.com/s4mcontext/s4mc)|[Paper](https://arxiv.org/pdf/2308.13900)|
|Semi-supervised Semantic Segmentation via Boosting Uncertainty on Unlabeled Data||Arxiv 2023| PASCAL VOC 2012, Cityscapes||[Paper](https://arxiv.org/pdf/2311.18758.pdf)|
|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)|
|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)|
|CAFS: Class Adaptive Framework for Semi-Supervised Semantic Segmentation|CAFS|Arxiv 2023|PASCAL VOC 2012, Cityscapes|[Code](https://github.com/cjf8899/CAFS)|[Paper](https://arxiv.org/pdf/2303.11606.pdf)|
|Revisiting Image Reconstruction for Semi-supervised Semantic Segmentation| FOrec | Arxiv 2023| PASCAL VOC 2012, Cityscapes|-|[Paper](https://arxiv.org/pdf/2303.09794.pdf)|
|Switching Temporary Teachers for Semi-Supervised Semantic Segmentation| | NeurIPS 2023 | PASCAL VOC 2012, Cityscapes|-|[Paper](https://arxiv.org/pdf/2310.18640.pdf)|
|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)|
|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)|
|Semi-Supervised Semantic Segmentation With Region Relevance|RRN|ICME 2023| PASCAL VOC 2012, Cityscapes|[Code](https://github.com/NUST-Machine-Intelligence-Laboratory/TorchSemiSeg2)|[Paper](https://arxiv.org/pdf/2304.11539.pdf)|
|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)|[Paper](https://proceedings.mlr.press/v202/wang23x/wang23x.pdf)|
|Instance-Specific and Model-Adaptive Supervision for Semi-Supervised Semantic Segmentation|iMAS|CVPR 2023|PASCAL VOC 2012, Cityscapes|[Code](https://github.com/ZhenZHAO/iMAS)|[Paper](https://arxiv.org/pdf/2211.11335.pdf)|
|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)|
|Fuzzy Positive Learning for Semi-supervised Semantic Segmentation| FPL| CVPR 2023|PASCAL VOC 2012, Cityscapes|[Code](https://github.com/qpc1611094/FPL)|[Paper](https://arxiv.org/pdf/2210.08519.pdf)|
|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)| [Paper](https://arxiv.org/pdf/2208.09910.pdf)|
|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)|[Paper](https://arxiv.org/pdf/2212.04976.pdf)|
|Conflict-Based Cross-View Consistency for Semi-Supervised Semantic Segmentation|CCVC|CVPR 2023|PASCAL VOC 2012, Cityscapes|[Code](https://github.com/xiaoyao3302/CCVC)|[Paper](https://arxiv.org/pdf/2303.01276.pdf)|
|Conservative-Progressive Collaborative Learning for Semi-supervised Semantic Segmentation|CPCL|TIP 2023|PASCAL VOC 2012, Cityscapes|-|[Paper](https://arxiv.org/pdf/2211.16701.pdf)|
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)|[Paper](https://ieeexplore.ieee.org/document/10005033)|
## 2022
| Title| Abbreviation| Published | Dataset | CODE | PDF |
| :---------| :------------------------------:| :----------------------: | :-------------------------------------------------------------------------:| :--------------------: | :--------------- |
|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)|
|Multi-View Correlation Consistency for Semi-Supervised Semantic Segmentation|MVCC|Arxiv 2022|PASCAL VOC 2012, Cityscapes|-|[Paper](https://arxiv.org/pdf/2208.08437.pdf)|
|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)|[Paper](https://arxiv.org/pdf/2210.10426.pdf)|
|Semantic Segmentation with Active Semi-Supervised Representation Learning|-|BMVC 2022|Cityscapes, CamVid|-|[Paper](https://arxiv.org/pdf/2210.08403.pdf)|
|Semi-supervised Semantic Segmentation with Prototype-based Consistency Regularization|PCR|NeurIPS 2022|PASCAL VOC 2012, Cityscapes|[Code](https://github.com/HeimingX/semi_seg_proto)|[Paper](https://arxiv.org/pdf/2210.04388.pdf)|
|Learning from Future: A Novel Self-Training Framework for Semantic Segmentation|FST| NeurIPS 2022|PASCAL VOC 2012| [Code](https://github.com/usr922/FST)|[Paper](https://arxiv.org/pdf/2209.06993.pdf)|
|Semi-Supervised Semantic Segmentation via Gentle Teaching Assistant|GTA|NeurIPS 2022|PASCAL VOC 2012, Cityscapes|[Code](https://github.com/Jin-Ying/GTA-Seg)|[Paper](https://arxiv.org/pdf/2301.07340)|
|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)|[Paper](https://arxiv.org/pdf/2204.08824.pdf)|
|Semi-Supervised Semantic Segmentation with Cross Teacher Training|CTT|Neurocomputing 2022|PASCAL VOC 2012, Cityscapes|-|[Paper](https://arxiv.org/pdf/2209.01327.pdf)|
|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)|
|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)|
|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)|
|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)|[Paper](https://arxiv.org/pdf/2203.10278.pdf)|
|Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels |U2PL |CVPR 2022 |PASCAL VOC 2012 | [Code](https://github.com/Haochen-Wang409/U2PL)| [Paper](https://arxiv.org/pdf/2203.03884.pdf)|
|Semi-supervised Semantic Segmentation with Error Localization Network | ELN |CVPR 2022| PASCAL VOC 2012, Cityscapes| [Code](https://github.com/kinux98/SSL_ELN)|[Paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Kwon_Semi-Supervised_Semantic_Segmentation_With_Error_Localization_Network_CVPR_2022_paper.pdf)|
|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)|
|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)|[Paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Liu_Perturbed_and_Strict_Mean_Teachers_for_Semi-Supervised_Semantic_Segmentation_CVPR_2022_paper.pdf)|
|Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation|USRN|CVPR 2022|PASCAL VOC 2012, Cityscapes|[Code](https://github.com/Dayan-Guan/USRN)|[Paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Guan_Unbiased_Subclass_Regularization_for_Semi-Supervised_Semantic_Segmentation_CVPR_2022_paper.pdf)|
|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)|[Paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Yang_ST_Make_Self-Training_Work_Better_for_Semi-Supervised_Semantic_Segmentation_CVPR_2022_paper.pdf)|
|Semi-Supervised Video Semantic Segmentation with Inter-Frame Feature Reconstruction| IRF | CVPR 2022| Cityscapes, CamVid| [Code](https://github.com/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)|
|Noisy Boundaries: Lemon or Lemonade for Semi-supervised Instance Segmentation?|-|CVPR 2022| Cityscapes, MS COCO,BDD100K|[Code](https://github.com/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)|
|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)
|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)|[Paper](https://arxiv.org/pdf/2203.02792.pdf)|
|Semi-supervision semantic segmentation with uncertainty-guided self cross supervision|USCS|Arxiv 2022|PASCAL VOC 2012|-|[Paper](https://arxiv.org/pdf/2203.05118.pdf)|
|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)|
|Active Learning for Improved Semi-Supervised Semantic Segmentation in Satellite Images|-|WACV 2022|UCM, deepglobe|[Code](https://github.com/immuno121/ALS4GAN)|[Paper](https://arxiv.org/pdf/2110.07782.pdf)|
|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)|
|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)|[Paper](https://www.sciencedirect.com/science/article/abs/pii/S003132032200406X)|
## 2021
| Title| Abbreviation| Published | Dataset | CODE | PDF |
| :---------| :------------------------------:| :----------------------: | :-------------------------------------------------------------------------:| :--------------------: | :--------------- |
|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)|
|Revisiting consistency for semi-supervised semantic segmentation|-|Arxiv 2021|Cityscapes|-|[Paper](https://arxiv.org/pdf/2106.07075.pdf)|
|Robust Mutual Learning for Semi-supervised Semantic Segmentation|-|Arxiv 2021|PASCAL VOC 2012, Cityscapes|-|[Paper](https://arxiv.org/pdf/2106.00609.pdf)|
|Mask-based Data Augmentation for Semi-supervised Semantic Segmentation| ComplexMix |Arxiv 2021|Cityscapes|-|[Paper](https://arxiv.org/pdf/2101.10156.pdf)|
|Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning|AEL|NeurIPS 2021|PASCAL VOC 2012, Cityscapes|[Code](https://github.com/hzhupku/SemiSeg-AEL)|[Paper](https://arxiv.org/pdf/2110.05474.pdf)|
|Colour augmentation for improved semi-supervised semantic segmentation|-|Arxiv 2021|PASCAL VOC 2012, Cityscapes|-|[Paper](https://arxiv.org/pdf/2110.04487.pdf)|
| 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)|[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)|
|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)|[Paper](https://arxiv.org/pdf/2104.07256.pdf)|
|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)|[Paper](https://arxiv.org/pdf/2104.13415.pdf)|
|Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation|P2Seg|ICCV 2021|PASCAL VOC 2012, Cityscapes, MS COCO|-|[Paper](https://arxiv.org/pdf/2108.09025.pdf)|
|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)|[Paper](https://arxiv.org/pdf/2107.11279.pdf)|
|Warp-Refine Propagation: Semi-Supervised Auto-labeling via Cycle-consistency|-|ICCV 2021|CityScapes, NYU, KITTI, ApolloScape|-|[Paper](https://arxiv.org/pdf/2109.13432.pdf)|
|Semi-supervised Semantic Segmentation with Directional Context-aware Consistency|-|CVPR 2021|PASCAL VOC 2012, Cityscapes|[Code](https://github.com/dvlab-research/Context-Aware-Consistency)|[Paper](https://arxiv.org/pdf/2106.14133.pdf)|
|Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision|CPS|CVPR 2021|PASCAL VOC 2012, Cityscapes|[Code](https://github.com/charlesCXK/TorchSemiSeg)|[Paper](https://arxiv.org/pdf/2106.01226.pdf)|
|Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation|-|CVPR 2021|PASCAL VOC 2012|[Code](https://github.com/jbeomlee93/AdvCAM)|[Paper](https://arxiv.org/pdf/2103.08896.pdf)|
|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)|
|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)|
|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)|
|PseudoSeg: Designing Pseudo Labels for Semantic Segmentation|PseudoSeg|ICLR 2021|PASCAL VOC 2012, MS COCO|[Code](https://github.com/googleinterns/wss)|[Paper](https://arxiv.org/pdf/2010.09713.pdf)|
|ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning|ClassMix|WACV 2021|PASCAL VOC 2012, Cityscapes|[Code](https://github.com/WilhelmT/ClassMix)|[Paper](https://arxiv.org/pdf/2007.07936.pdf)|
## 2020 ( Under construction )
| Title | Abbreviation | Published | Dataset | CODE | PDF |
| :---------| :------------------------------:| :----------------------: | :-------------------------------------------------------------------------:| :--------------------: | :--------------- |
|Semi-Supervised Semantic Segmentation with Cross-Consistency Training|CCT|CVPR 2020|PASCAL VOC 2012, Cityscapes, CamVid|[Code](https://github.com/yassouali/CCT)|[Paper](https://arxiv.org/pdf/2003.09005.pdf)|
|Semi-Supervised Semantic Image Segmentation with Self-correcting Networks|-|CVPR 2020|PASCAL VOC 2012, Cityscapes|-|[Paper](https://arxiv.org/pdf/1811.07073.pdf)|
|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)|
|Guided Collaborative Training for Pixel-wise Semi-Supervised Learning|GCT|ECCV 2020|Pascal VOC 2012|[Code](https://github.com/ZHKKKe/PixelSSL)|[Paper](https://arxiv.org/pdf/2008.05258.pdf)|
|Semi-supervised semantic segmentation needs strong, varied perturbations|CutMix|BMVC2020|PASCAL VOC 2012, Cityscapes, ISIC 2017|[Code](https://github.com/Britefury/cutmix-semisup-seg)|[Paper](https://arxiv.org/pdf/1906.01916.pdf)|