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Awesome-Semi-Supervised-Semantic-Segmentation

Collect some Semi-Supervised Semantic Segmentation papers.

If you find some overlooked papers, please open issues or pull requests (recommended).

Papers

2022

  • Region-level Contrastive and Consistency Learning for Semi-Supervised Semantic Segmentation [arXiv]
  • (ReCo) Bootstrapping Semantic Segmentation with Regional Contrast [ICLR] [code]
  • (ELN) Semi-supervised Semantic Segmentation with Error Localization Network [CVPR] [code]
  • (U2PL) Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels [CVPR] [code]
  • (PS-MT) Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation [CVPR] [code]

2021

  • Contrastive Learning for Label Efficient Semantic Segmentation [ICCV]
  • (SemiSegContrast) Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory Bank [ICCV] [code]
  • (n-CPS) Generalising Cross Pseudo Supervision to n Networks for Semi-Supervised Semantic Segmentation [paper]
  • Looking Beyond Single Images for Contrastive Semantic Segmentation Learning [NeurIPS]
  • The GIST and RIST of Iterative Self-Training for Semi-Supervised Segmentation [arXiv] [code]

2020

  • (ClassMix) Segmentation-Based Data Augmentation for Semi-Supervised Learning [arXiv] [code]

  • (DMT) DMT: Dynamic Mutual Training for Semi-Supervised Learning [arXiv] [code]

  • (CCT) Semi-Supervised Semantic Segmentation with Cross-Consistency Training[CVPR] [code]

2019

  • Semi-Supervised Semantic Segmentation with High- and Low-level Consistency [arXiv] [code]

2018

  • Adversarial Learning for Semi-Supervised Semantic Segmentation [ICLR] [code]

Benchmark Datasets

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