% Key papers for Consistency training for semi-supervised segmentation (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2021_semi_17878,
  title = {{Semi-Supervised Semantic Segmentation With Cross Pseudo Supervision}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2020_semi_16225,
  title = {{Semi-Supervised Semantic Segmentation With Cross-Consistency Training}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2022_semi_19853,
  title = {{Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2022_perturbed_19570,
  title = {{Perturbed and Strict Mean Teachers for Semi-Supervised Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2022_simmatch_19878,
  title = {{SimMatch: Semi-Supervised Learning With Similarity Matching}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{iclr2021_pseudoseg_29931,
  title = {{PseudoSeg: Designing Pseudo Labels for Semantic Segmentation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/3033},
}

@inproceedings{cvpr2021_semantic_17871,
  title = {{Semantic Segmentation With Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2023_augmentation_20413,
  title = {{Augmentation Matters: A Simple-Yet-Effective Approach to Semi-Supervised Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21588},
}

@inproceedings{cvpr2022_semi_19854,
  title = {{Semi-Supervised Semantic Segmentation With Error Localization Network}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2023_conflict_20629,
  title = {{Conflict-Based Cross-View Consistency for Semi-Supervised Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21595},
}

@inproceedings{cvpr2021_three_18006,
  title = {{Three Ways To Improve Semantic Segmentation With Self-Supervised Depth Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2021_atso_16557,
  title = {{ATSO: Asynchronous Teacher-Student Optimization for Semi-Supervised Image Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2021_semi_17877,
  title = {{Semi-Supervised Domain Adaptation Based on Dual-Level Domain Mixing for Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2022_unbiased_20111,
  title = {{Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2023_instance_21259,
  title = {{Instance-Specific and Model-Adaptive Supervision for Semi-Supervised Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21047},
}

@inproceedings{cvpr2023_hunting_21189,
  title = {{Hunting Sparsity: Density-Guided Contrastive Learning for Semi-Supervised Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22451},
}

@inproceedings{neurips2022_semi_65539,
  title = {{Semi-supervised Semantic Segmentation with Prototype-based Consistency Regularization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54893},
}

@inproceedings{cvpr2024_towards_25069,
  title = {{Towards the Uncharted: Density-Descending Feature Perturbation for Semi-supervised Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29940},
}

@inproceedings{cvpr2023_semicvt_22182,
  title = {{SemiCVT: Semi-Supervised Convolutional Vision Transformer for Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22506},
}

@inproceedings{neurips2022_semi_66115,
  title = {{Semi-Supervised Semantic Segmentation via Gentle Teaching Assistant}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/55214},
}

@inproceedings{aaai2025_relaxed_10508,
  title = {{Relaxed Class-consensus Consistency for Semi-supervised Semantic Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32646},
}

@inproceedings{cvpr2025_improving_26609,
  title = {{Improving Semi-Supervised Semantic Segmentation with Sliced-Wasserstein Feature Alignment and Uniformity}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32438},
}

@inproceedings{cvpr2025_exploring_26189,
  title = {{Exploring Scene Affinity for Semi-Supervised LiDAR Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33762},
}

@inproceedings{icml2024_sam_44199,
  title = {{SAM as the Guide: Mastering Pseudo-Label Refinement in Semi-Supervised Referring Expression Segmentation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34253},
}

@inproceedings{aaai2024_rwms_7062,
  title = {{RWMS: Reliable Weighted Multi-Phase for Semi-supervised Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28163},
}

@inproceedings{aaai2026_s5_104186,
  title = {{S5: Scalable Semi-Supervised Semantic Segmentation in Remote Sensing}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37715},
}

@inproceedings{cvpr2025_soft_27702,
  title = {{Soft Self-labeling and Potts Relaxations for Weakly-supervised Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33125},
}

@inproceedings{icml2026_learning_49563,
  title = {{Learning to Label: A Reinforced Self-Evolving Framework for Semi-supervised Referring Expression Segmentation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=3gf0MK7LTk},
}

@inproceedings{icml2026_collaborative_54597,
  title = {{Collaborative Learning for Semi-Supervised LiDAR Semantic Segmentation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=qeHq1NtpLt},
}

@inproceedings{neurips2025_towards_76317,
  title = {{Towards Robust Pseudo-Label Learning in Semantic Segmentation: An Encoding Perspective}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=I960M7VBng},
}

@inproceedings{aaai2026_semi_100562,
  title = {{Semi-Supervised Semantic Segmentation via Derivative Label Propagation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37409},
}

@inproceedings{aaai2026_ssr_102621,
  title = {{SSR-SAM: Retrieval-Style Segment Anything Model for Semi-Supervised Ultra-High-Resolution Image Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37566},
}

@inproceedings{aaai2026_learning_105280,
  title = {{Learning Beyond Vision: Vision-Language Distillation and Edge-Aware Mix Diffusion in Semi-Supervised Semantic Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38152},
}

@inproceedings{icml2025_beyond_46832,
  title = {{Beyond Confidence: Exploiting Homogeneous Pattern for Semi-Supervised Semantic Segmentation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45744},
}

@inproceedings{iclr2025_towards_80983,
  title = {{Towards Unbiased Learning in Semi-Supervised Semantic Segmentation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30785},
}

@inproceedings{cvpr2026_from_99652,
  title = {{From Softmax to Dirichlet: Evidential Learning for Semi-supervised Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Mai_From_Softmax_to_Dirichlet_Evidential_Learning_for_Semi-supervised_Semantic_Segmentation_CVPR_2026_paper.html},
}