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Semi-Supervised Semantic Segmentation

2023

  • [CVPR 2023] Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation [Paper] [Code]

  • [CVPR 2023] Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised Semantic Segmentation [Paper] [Code]

  • [CVPR 2023] Instance-specific and Model-adaptive Supervision for Semi-supervised Semantic Segmentation [Paper] [Code]

  • [CVPR 2023] LaserMix for Semi-Supervised LiDAR Semantic Segmentation [Paper] [Code]

  • [TIP 2023] Conservative-Progressive Collaborative Learning for Semi-supervised Semantic Segmentation [Paper]

2022

  • [CVPR 2022] ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation [Paper] [Code]

  • [CVPR 2022] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels [Paper] [Code]

  • [CVPR 2022] Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation [Paper] [Code]

  • [CVPR 2022] Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation [Paper] [Code]

  • [CVPR 2022] Semi-supervised Semantic Segmentation with Error Localization Network [Paper] [Code]

  • [CVPR 2022] UCC: Uncertainty guided Cross-head Co-training for Semi-Supervised Semantic Segmentation [Paper]

  • [TPAMI 2022] Querying Labeled for Unlabeled- Cross-Image Semantic Consistency Guided Semi-Supervised Semantic Segmentation [Paper] [Code]

  • [ICLR 2022] Bootstrapping Semantic Segmentation with Regional Contrast [Paper] [Code]

  • [NeurIPS 2022] Semi-Supervised Semantic Segmentation via Gentle Teaching Assistant [Paper] [Code]

  • [NeurIPS 2022] Semi-supervised Semantic Segmentation with Prototype-based Consistency Regularization [Paper] [Code]

  • [ECCV 2022] Multi-Granularity Distillation Scheme Towards Lightweight Semi-Supervised Semantic Segmentation [Paper]

  • [PR 2022] DMT: Dynamic Mutual Training for Semi-Supervised Learning [Paper] [Code]

  • [AAAI 2022] GuidedMix-Net: Semi-supervised Semantic Segmentation by Using Labeled Images as Reference [Paper]

2021

  • [ICLR 2021] PseudoSeg: Designing Pseudo Labels for Semantic Segmentation [Paper] [Code]

  • [CVPR 2021] Semi-supervised Semantic Segmentation with Directional Context-aware Consistency [Paper] [Code]

  • [CVPR 2021] Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision [Paper] [Code]

  • [ICCV 2021] Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation [Paper] [Code]

  • [ICCV 2021] Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory Bank [Paper] [Code]

  • [ICCV 2021] A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation [Paper] [Code]

  • [ICCV 2021] C3-SemiSeg: Contrastive Semi-supervised Segmentation via Cross-set Learning and Dynamic Class-balancing [Paper] [Code]

  • [ICCV 2021] Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation [Paper]

  • [ICCV 2021] Contrastive Learning for Label Efficient Semantic Segmentation [Paper]

  • [NeurIPS 2021] Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning [Paper] [Code]

  • [WACV 2021] ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning [Paper] [Code]

Before 2021

  • [NeurIPS 2020] Rethinking Pre-training and Self-training [Paper]

  • [BMVC 2020] Semi-supervised semantic segmentation needs strong, varied perturbations [Paper] [Code]

  • [CVPR 2020] Semi-Supervised Semantic Segmentation with Cross-Consistency Training [Paper] [Code]

  • [CVPR 2020] Semi-Supervised Semantic Image Segmentation with Self-correcting Networks [Paper]

  • [ECCV 2020] Guided Collaborative Training for Pixel-wise Semi-Supervised Learning [Paper] [Code]

  • [ECCV 2020] Semi-Supervised Segmentation based on Error-Correcting Supervision [Paper]

  • [TPAMI 2019] Semi-Supervised Semantic Segmentation with High- and Low-level Consistency [Paper] [Code]

  • [ICCV 2017] Semi Supervised Semantic Segmentation Using Generative Adversarial Network [Paper]