% Key papers for Unknown-class mining for incremental segmentation (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2020_modeling_15901,
  title = {{Modeling the Background for Incremental Learning in Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2023_federated_20988,
  title = {{Federated Incremental Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22365},
}

@inproceedings{cvpr2023_endpoints_20912,
  title = {{Endpoints Weight Fusion for Class Incremental Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22940},
}

@inproceedings{cvpr2023_incrementer_21248,
  title = {{Incrementer: Transformer for Class-Incremental Semantic Segmentation With Knowledge Distillation Focusing on Old Class}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21836},
}

@inproceedings{aaai2021_class_247,
  title = {{Class-Incremental Instance Segmentation via Multi-Teacher Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/01478-class-incremental-instance-segmentation-via-multi-teacher-networks/},
}

@inproceedings{cvpr2023_foundation_21015,
  title = {{Foundation Model Drives Weakly Incremental Learning for Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21354},
}

@inproceedings{neurips2022_mining_64425,
  title = {{Mining Unseen Classes via Regional Objectness: A Simple Baseline for Incremental Segmentation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/55290},
}

@inproceedings{cvpr2024_incremental_23795,
  title = {{Incremental Nuclei Segmentation from Histopathological Images via Future-class Awareness and Compatibility-inspired Distillation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30852},
}

@inproceedings{aaai2025_adaptive_8041,
  title = {{Adaptive Prototype Replay for Class Incremental Semantic Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33188},
}

@inproceedings{neurips2021_ssul_61479,
  title = {{SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27716},
}

@inproceedings{neurips2022_alife_65315,
  title = {{ALIFE: Adaptive Logit Regularizer and Feature Replay for Incremental Semantic Segmentation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54768},
}

@inproceedings{neurips2022_decomposed_63700,
  title = {{Decomposed Knowledge Distillation for Class-Incremental Semantic Segmentation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/53823},
}

@inproceedings{aaai2016_knowledge_105093,
  title = {{Knowledge Transfer with Interactive Learning of Semantic Relationships}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2016},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10265},
}

@inproceedings{neurips2023_saving_67315,
  title = {{Saving 100x Storage: Prototype Replay for Reconstructing Training Sample Distribution in Class-Incremental Semantic Segmentation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72410},
}

@inproceedings{cvpr2025_combo_25724,
  title = {{CoMBO: Conflict Mitigation via Branched Optimization for Class Incremental Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33436},
}

@inproceedings{aaai2025_lagd_9662,
  title = {{LAGD: Local Topological-Alignment and Global Semantic-Deconstruction for Incremental 3D Semantic Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34427},
}

@inproceedings{icml2025_knowledge_46430,
  title = {{Knowledge Swapping via Learning and Unlearning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46135},
}

@inproceedings{neurips2025_continual_78366,
  title = {{Continual Gaussian Mixture Distribution Modeling for Class Incremental Semantic Segmentation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=dtYKDOBkc7},
}

@inproceedings{aaai2026_cinuseg_104866,
  title = {{CiNuSeg: Class Incremental Nuclei Segmentation via Anchor-driven Consistency Learning with Dual Region Regularization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38055},
}

@inproceedings{aaai2026_class_105650,
  title = {{Class Incremental Medical Image Segmentation via Prototype-Guided Calibration and Dual-Aligned Distillation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38406},
}

@inproceedings{aaai2026_forget_106881,
  title = {{Forget What Has Seen: Selective Concept Unlearning in Segmentation Foundation Models}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39233},
}

@inproceedings{aaai2026_palimpsest_107106,
  title = {{Palimpsest: Reconciling the CISS Trilemma for Incremental Nuclei Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39458},
}

@inproceedings{icml2026_learnability_50353,
  title = {{Learnability-Driven Knowledge Assimilation for Class-Incremental Semantic Segmentation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=BXKHmESzMw},
}