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Awesome-Semi-Supervised-Semantic-Segmentation

A summary of recent semi-supervised semantic segmentation methods
https://github.com/BBBBchan/Awesome-Semi-Supervised-Semantic-Segmentation

Last synced: 4 days ago
JSON representation

  • 2024

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    • Code - shin/PrevMatch)|[Paper](https://arxiv.org/abs/2405.20610)|
    • Code - lab/AllSpark)|[Paper](https://arxiv.org/pdf/2403.01818.pdf)|
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    • Code - V2)|[Paper](https://arxiv.org/pdf/2410.10777)|
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    • Code - supervised_Semantic_Segmentation_CVPR_2024_paper.pdf)|
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    • Code - Supervised_Semantic_Segmentation_CVPR_2024_paper.pdf)|
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    • Code - research/semivl)|[Paper](https://arxiv.org/abs/2311.16241)|
    • Code - stonybrook/Weighting-Pseudo-Labels)|[Paper](https://arxiv.org/pdf/2407.12630)|
  • 2023

  • 2022

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    • Code - Ying/GTA-Seg)|[Paper](https://arxiv.org/pdf/2301.07340)|
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    • Code - Wang409/U2PL)| [Paper](https://arxiv.org/pdf/2203.03884.pdf)|
    • Code - Supervised_Semantic_Segmentation_With_Error_Localization_Network_CVPR_2022_paper.pdf)|
    • Code - mt)|[Paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Liu_Perturbed_and_Strict_Mean_Teachers_for_Semi-Supervised_Semantic_Segmentation_CVPR_2022_paper.pdf)|
    • Code - Guan/USRN)|[Paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Guan_Unbiased_Subclass_Regularization_for_Semi-Supervised_Semantic_Segmentation_CVPR_2022_paper.pdf)|
    • Code - 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)|
    • Code - Supervised_Video_Semantic_Segmentation_With_Inter-Frame_Feature_Reconstruction_CVPR_2022_paper.pdf)|
    • Code - Supervised_Instance_Segmentation_CVPR_2022_paper.pdf)|
    • Code - cong/ADS-SemiSeg)|[Paper](https://arxiv.org/pdf/2203.02792.pdf)|
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    • Code - Pseudo-Label)|[Paper](https://www.sciencedirect.com/science/article/abs/pii/S003132032200406X)|
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  • 2021

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    • Code - 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)|
    • Code - yuan/SimpleBaseline)|[Paper](https://arxiv.org/pdf/2104.07256.pdf)|
    • Code - Contrastive)|[Paper](https://arxiv.org/pdf/2104.13415.pdf)|
    • Code - Lab/DARS)|[Paper](https://arxiv.org/pdf/2107.11279.pdf)|
    • Code - research/Context-Aware-Consistency)|[Paper](https://arxiv.org/pdf/2106.14133.pdf)|
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  • 2020 ( Under construction )