% Key papers for Pseudo-labeling for specialized tasks (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2023_contrastive_20653,
  title = {{Contrastive Semi-Supervised Learning for Underwater Image Restoration via Reliable Bank}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21207},
}

@inproceedings{cvpr2021_memory_17395,
  title = {{Memory Oriented Transfer Learning for Semi-Supervised Image Deraining}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2021_openmix_17547,
  title = {{OpenMix: Reviving Known Knowledge for Discovering Novel Visual Categories in an Open World}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2023_optimal_21788,
  title = {{Optimal Transport Minimization: Crowd Localization on Density Maps for Semi-Supervised Counting}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22620},
}

@inproceedings{cvpr2024_unleashing_25150,
  title = {{Unleashing Unlabeled Data: A Paradigm for Cross-View Geo-Localization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30897},
}

@inproceedings{cvpr2020_generating_15596,
  title = {{Generating Accurate Pseudo-Labels in Semi-Supervised Learning and Avoiding Overconfident Predictions via Hermite Polynomial Activations}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2023_improving_21243,
  title = {{Improving Weakly Supervised Temporal Action Localization by Bridging Train-Test Gap in Pseudo Labels}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22270},
}

@inproceedings{cvpr2022_self_19840,
  title = {{Self-Taught Metric Learning Without Labels}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{aaai2021_revisiting_1281,
  title = {{Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/07601-revisiting-iterative-back-translation-from-the-perspective-of-compositional-generalization/},
}

@inproceedings{cvpr2023_smae_22106,
  title = {{SMAE: Few-Shot Learning for HDR Deghosting With Saturation-Aware Masked Autoencoders}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22781},
}

@inproceedings{cvpr2023_semi_22174,
  title = {{Semi-Supervised 2D Human Pose Estimation Driven by Position Inconsistency Pseudo Label Correction Module}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22114},
}

@inproceedings{cvpr2022_fishermatch_18866,
  title = {{FisherMatch: Semi-Supervised Rotation Regression via Entropy-Based Filtering}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2020_learning_15808,
  title = {{Learning to Detect Important People in Unlabelled Images for Semi-Supervised Important People Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{neurips2024_real_71469,
  title = {{Real-world Image Dehazing with Coherence-based Pseudo Labeling and Cooperative Unfolding Network}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95790},
}

@inproceedings{cvpr2022_how_19007,
  title = {{How Do You Do It? Fine-Grained Action Understanding With Pseudo-Adverbs}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2022_selfd_19841,
  title = {{SelfD: Self-Learning Large-Scale Driving Policies From the Web}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2023_refteacher_22017,
  title = {{RefTeacher: A Strong Baseline for Semi-Supervised Referring Expression Comprehension}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22910},
}

@inproceedings{neurips2023_jaccard_67946,
  title = {{Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/71824},
}

@inproceedings{cvpr2023_scarcenet_22133,
  title = {{ScarceNet: Animal Pose Estimation With Scarce Annotations}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21934},
}

@inproceedings{aaai2018_arc_102550,
  title = {{ARC: Adversarial Robust Cuts for Semi-Supervised and Multi-Label Classification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11817},
}

@inproceedings{aaai2024_semi_7313,
  title = {{Semi-supervised Class-Agnostic Motion Prediction with Pseudo Label Regeneration and BEVMix}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28358},
}

@inproceedings{cvpr2025_point_27269,
  title = {{Point-to-Region Loss for Semi-Supervised Point-Based Crowd Counting}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33432},
}

@inproceedings{cvpr2024_uncertainty_25117,
  title = {{Uncertainty-Guided Never-Ending Learning to Drive}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31786},
}

@inproceedings{cvpr2025_detect_25906,
  title = {{Detect Any Mirrors: Boosting Learning Reliability on Large-Scale Unlabeled Data with an Iterative Data Engine}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33515},
}

@inproceedings{aaai2025_semi_10733,
  title = {{Semi-Supervised Clustering Framework for Fine-grained Scene Graph Generation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32998},
}

@inproceedings{cvpr2025_semiets_27640,
  title = {{SemiETS: Integrating Spatial and Content Consistencies for Semi-Supervised End-to-end Text Spotting}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33540},
}

@inproceedings{cvpr2025_consistency_25767,
  title = {{Consistency-aware Self-Training for Iterative-based Stereo Matching}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33618},
}

@inproceedings{aaai2026_perceive_105275,
  title = {{Perceive, Act and Correct: Confidence Is Not Enough for Hyperspectral Classification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38147},
}

@inproceedings{neurips2025_uncertain_76741,
  title = {{Uncertain Knowledge Graph Completion via Semi-Supervised Confidence Distribution Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=Mat9FTfiYD},
}

@inproceedings{neurips2025_omnigaze_77238,
  title = {{OmniGaze: Reward-inspired Generalizable Gaze Estimation in the Wild}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=RnOKrKVMfC},
}

@inproceedings{aaai2025_enhancing_8962,
  title = {{Enhancing Generalizability via Utilization of Unlabeled Data for Occupancy Perception}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32518},
}

@inproceedings{cvpr2025_panda_27212,
  title = {{PanDA: Towards Panoramic Depth Anything with Unlabeled Panoramas and Mobius Spatial Augmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34828},
}

@inproceedings{icml2026_semi_52481,
  title = {{Semi-LAR: Semi-supervised Contrastive Learning with Linear Attention for Removal of Nighttime Flares}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=WTg6EIcXso},
}

@inproceedings{cvpr2026_llm_96820,
  title = {{LLM-Guided Probabilistic Fusion for Label-Efficient Document Layout Analysis}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Shihab_LLM-Guided_Probabilistic_Fusion_for_Label-Efficient_Document_Layout_Analysis_CVPR_2026_paper.html},
}

@inproceedings{cvpr2026_real_97963,
  title = {{Real-World Point Tracking with Verifier-Guided Pseudo-Labeling}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Aydemir_Real-World_Point_Tracking_with_Verifier-Guided_Pseudo-Labeling_CVPR_2026_paper.html},
}

@inproceedings{aaai2026_semi_101160,
  title = {{Semi-Supervised High Dynamic Range Image Reconstructing via Bi-Level Uncertain Area Masking}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37461},
}

@inproceedings{aaai2026_sea_104654,
  title = {{SEA-PACE: Semi-Supervised Underwater Image Enhancement via Gaussian Process–Assisted Self-Paced Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37958},
}

@inproceedings{iclr2025_gaussian_82821,
  title = {{Gaussian-Based Instance-Adaptive Intensity Modeling for Point-Supervised Facial Expression Spotting}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/28978},
}