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

@inproceedings{cvpr2016_scribblesup_11841,
  title = {{ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2017_object_12501,
  title = {{Object Region Mining With Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2018_learning_13294,
  title = {{Learning Pixel-Level Semantic Affinity With Image-Level Supervision for Weakly Supervised Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Ahn_Learning_Pixel-Level_Semantic_CVPR_2018_paper.html},
}

@inproceedings{cvpr2017_simple_12635,
  title = {{Simple Does It: Weakly Supervised Instance and Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2018_revisiting_13531,
  title = {{Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Wei_Revisiting_Dilated_Convolution_CVPR_2018_paper.html},
}

@inproceedings{cvpr2019_weakly_15019,
  title = {{Weakly Supervised Learning of Instance Segmentation With Inter-Pixel Relations}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2018_weakly_13728,
  title = {{Weakly-Supervised Semantic Segmentation Network With Deep Seeded Region Growing}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Huang_Weakly-Supervised_Semantic_Segmentation_CVPR_2018_paper.html},
}

@inproceedings{cvpr2019_ficklenet_14213,
  title = {{FickleNet: Weakly and Semi-Supervised Semantic Image Segmentation Using Stochastic Inference}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2018_normalized_13431,
  title = {{Normalized Cut Loss for Weakly-Supervised CNN Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Tang_Normalized_Cut_Loss_CVPR_2018_paper.html},
}

@inproceedings{cvpr2021_boxinst_16668,
  title = {{BoxInst: High-Performance Instance Segmentation With Box Annotations}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2019_weakly_15016,
  title = {{Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification From the Bottom Up}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2018_weakly_13729,
  title = {{Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Weakly-Supervised_Semantic_Segmentation_CVPR_2018_paper.html},
}

@inproceedings{cvpr2018_weakly_13722,
  title = {{Weakly Supervised Instance Segmentation Using Class Peak Response}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Zhou_Weakly_Supervised_Instance_CVPR_2018_paper.html},
}

@inproceedings{cvpr2020_single_16249,
  title = {{Single-Stage Semantic Segmentation From Image Labels}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2021_anti_16600,
  title = {{Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2021_railroad_17695,
  title = {{Railroad Is Not a Train: Saliency As Pseudo-Pixel Supervision for Weakly Supervised Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2019_box_13906,
  title = {{Box-Driven Class-Wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2023_clip_20537,
  title = {{CLIP Is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22135},
}

@inproceedings{cvpr2017_learning_12413,
  title = {{Learning Random-Walk Label Propagation for Weakly-Supervised Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2021_bbam_16626,
  title = {{BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2024_frozen_23527,
  title = {{Frozen CLIP: A Strong Backbone for Weakly Supervised Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30253},
}

@inproceedings{cvpr2024_separate_24803,
  title = {{Separate and Conquer: Decoupling Co-occurrence via Decomposition and Representation for Weakly Supervised Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29978},
}

@inproceedings{aaai2024_scribble_7274,
  title = {{Scribble Hides Class: Promoting Scribble-Based Weakly-Supervised Semantic Segmentation with Its Class Label}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28563},
}

@inproceedings{cvpr2024_curriculum_23068,
  title = {{Curriculum Point Prompting for Weakly-Supervised Referring Image Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29740},
}

@inproceedings{cvpr2025_pot_27198,
  title = {{POT: Prototypical Optimal Transport for Weakly Supervised Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34605},
}

@inproceedings{aaai2025_monobox_9986,
  title = {{MonoBox: Tightness-Free Box-Supervised Polyp Segmentation Using Monotonicity Constraint}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32371},
}

@inproceedings{aaai2024_mwsis_6591,
  title = {{MWSIS: Multimodal Weakly Supervised Instance Segmentation with 2D Box Annotations for Autonomous Driving}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28027},
}

@inproceedings{cvpr2024_mudslide_24201,
  title = {{Mudslide: A Universal Nuclear Instance Segmentation Method}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30933},
}

@inproceedings{cvpr2025_sketchy_27688,
  title = {{Sketchy Bounding-box Supervision for 3D Instance Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33636},
}

@inproceedings{cvpr2025_weakmcn_28146,
  title = {{WeakMCN: Multi-task Collaborative Network for Weakly Supervised Referring Expression Comprehension and Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32676},
}

@inproceedings{neurips2024_boosting_71822,
  title = {{Boosting Weakly Supervised Referring Image Segmentation via Progressive Comprehension}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95475},
}

@inproceedings{neurips2024_scribbles_72385,
  title = {{Scribbles for All: Benchmarking Scribble Supervised Segmentation Across Datasets}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/97672},
}

@inproceedings{cvpr2024_tonno_25019,
  title = {{ToNNO: Tomographic Reconstruction of a Neural Network's Output for Weakly Supervised Segmentation of 3D Medical Images}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31026},
}

@inproceedings{cvpr2025_wish_28140,
  title = {{WISH: Weakly Supervised Instance Segmentation using Heterogeneous Labels}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34082},
}

@inproceedings{neurips2024_integrating_74323,
  title = {{Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93237},
}

@inproceedings{cvpr2026_resam_99016,
  title = {{ReSAM: Refine, Requery, and Reinforce: Self-Prompting Point-Supervised Segmentation for Remote Sensing Images}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Subhani_ReSAM_Refine_Requery_and_Reinforce_Self-Prompting_Point-Supervised_Segmentation_for_Remote_CVPR_2026_paper.html},
}

@inproceedings{aaai2026_geocobox_101202,
  title = {{GeoCoBox: Box-supervised 3D Tumor Segmentation via Geometric Co-embedding}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37503},
}

@inproceedings{aaai2026_s2_104916,
  title = {{S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything Without Supervision}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38105},
}

@inproceedings{iclr2024_p2seg_33844,
  title = {{P2Seg: Pointly-supervised Segmentation via Mutual Distillation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19231},
}

@inproceedings{neurips2025_epsilon_79579,
  title = {{\$epsilon\$-Seg: Sparsely Supervised Semantic Segmentation of Microscopy Data}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=qpIRwMubs9},
}