% Key papers for Incremental object detection with replay (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2021_der_16790,
  title = {{DER: Dynamically Expandable Representation for Class Incremental Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2022_overcoming_19532,
  title = {{Overcoming Catastrophic Forgetting in Incremental Object Detection via Elastic Response Distillation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2020_learning_15825,
  title = {{Learning to Segment the Tail}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2023_continual_20644,
  title = {{Continual Detection Transformer for Incremental Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21289},
}

@inproceedings{cvpr2022_continual_18513,
  title = {{Continual Object Detection via Prototypical Task Correlation Guided Gating Mechanism}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2024_sddgr_24696,
  title = {{SDDGR: Stable Diffusion-based Deep Generative Replay for Class Incremental Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30335},
}

@inproceedings{aaai2021_i3dol_739,
  title = {{I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/06066-i3dol-incremental-3d-object-learning-without-catastrophic-forgetting/},
}

@inproceedings{cvpr2023_niff_21640,
  title = {{NIFF: Alleviating Forgetting in Generalized Few-Shot Object Detection via Neural Instance Feature Forging}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21277},
}

@inproceedings{aaai2022_static_2779,
  title = {{Static-Dynamic Co-teaching for Class-Incremental 3D Object Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/03436-static-dynamic-co-teaching-for-class-incremental-3d-object-detection/},
}

@inproceedings{aaai2023_one_4293,
  title = {{One-Shot Replay: Boosting Incremental Object Detection via Retrospecting One Object}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25417},
}

@inproceedings{aaai2024_learning_6487,
  title = {{Learning Task-Aware Language-Image Representation for Class-Incremental Object Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28537},
}

@inproceedings{cvpr2025_revisiting_27462,
  title = {{Revisiting Generative Replay for Class Incremental Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34300},
}

@inproceedings{neurips2021_bridging_61222,
  title = {{Bridging Non Co-occurrence with Unlabeled In-the-wild Data for Incremental Object Detection}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28731},
}

@inproceedings{aaai2024_hypercorrelation_6238,
  title = {{Hypercorrelation Evolution for Video Class-Incremental Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28117},
}

@inproceedings{neurips2024_continual_72013,
  title = {{Continual Audio-Visual Sound Separation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95301},
}

@inproceedings{aaai2026_yolo_105515,
  title = {{YOLO-IOD: Towards Real Time Incremental Object Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38271},
}

@inproceedings{iclr2023_incremental_32738,
  title = {{Incremental Learning of Structured Memory via Closed-Loop Transcription}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/11287},
}

@inproceedings{aaai2025_dca_8590,
  title = {{DCA: Dividing and Conquering Amnesia in Incremental Object Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33068},
}

@inproceedings{cvpr2025_incremental_26621,
  title = {{Incremental Object Keypoint Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32955},
}

@inproceedings{icml2025_demystifying_47191,
  title = {{Demystifying Catastrophic Forgetting in Two-Stage Incremental Object Detector}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45396},
}

@inproceedings{icml2026_symbiosis_50552,
  title = {{Symbiosis-Inspired Knowledge Distillation for Incremental Object Detection}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=DYCt9JtCra},
}

@inproceedings{icml2026_focus_54099,
  title = {{Focus, Align, and Sustain: Counteracting Gradient Dilution in Incremental Object Detection}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=lrCseHVGjc},
}

@inproceedings{cvpr2026_beyond_97471,
  title = {{Beyond Prompt Degradation: Prototype-guided Dual-pool Prompting for Incremental Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Zhang_Beyond_Prompt_Degradation_Prototype-guided_Dual-pool_Prompting_for_Incremental_Object_Detection_CVPR_2026_paper.html},
}

@inproceedings{cvpr2026_parameterized_98380,
  title = {{Parameterized Prompt for Incremental Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/An_Parameterized_Prompt_for_Incremental_Object_Detection_CVPR_2026_paper.html},
}

@inproceedings{cvpr2026_increfa_99339,
  title = {{IncreFA: Breaking the Static Wall of Generative Model Attribution}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Qin_IncreFA_Breaking_the_Static_Wall_of_Generative_Model_Attribution_CVPR_2026_paper.html},
}

@inproceedings{aaai2026_better_104857,
  title = {{Better Matching, Less Forgetting: A Quality-Guided Matcher for Transformer-based Incremental Object Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38046},
}

@inproceedings{iclr2025_high_80883,
  title = {{High-dimension Prototype is a Better Incremental Object Detection Learner}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30884},
}

@inproceedings{iclr2025_psedet_81632,
  title = {{PseDet: Revisiting the Power of Pseudo Label in Incremental Object Detection}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30145},
}

@inproceedings{iclr2026_interference_86961,
  title = {{Interference-Isolated Elastic Weight Consolidation and Knowledge Calibration for Incremental Object Detection}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=VrXdmCjni4},
}

@inproceedings{cvpr2026_incremental_98946,
  title = {{Incremental Object Detection via Future-Aware Decoupled Cross-Head Distillation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Yin_Incremental_Object_Detection_via_Future-Aware_Decoupled_Cross-Head_Distillation_CVPR_2026_paper.html},
}

@inproceedings{cvpr2026_selective_99385,
  title = {{Selective Amnesia using Contrastive Subnet Erasure for Class Level Unlearning in Vision Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Pramanik_Selective_Amnesia_using_Contrastive_Subnet_Erasure_for_Class_Level_Unlearning_CVPR_2026_paper.html},
}