% Key papers for Knowledge distillation for detectors (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2021_distilling_16882,
  title = {{Distilling Knowledge via Knowledge Review}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2019_distilling_14097,
  title = {{Distilling Object Detectors With Fine-Grained Feature Imitation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2022_focal_18871,
  title = {{Focal and Global Knowledge Distillation for Detectors}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2020_online_15989,
  title = {{Online Knowledge Distillation via Collaborative Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2021_distilling_16883,
  title = {{Distilling Object Detectors via Decoupled Features}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2021_general_17061,
  title = {{General Instance Distillation for Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2022_localization_19267,
  title = {{Localization Distillation for Dense Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2024_crosskd_23064,
  title = {{CrossKD: Cross-Head Knowledge Distillation for Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31390},
}

@inproceedings{aaai2022_knowledge_2288,
  title = {{Knowledge Distillation for Object Detection via Rank Mimicking and Prediction-Guided Feature Imitation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/01306-knowledge-distillation-for-object-detection-via-rank-mimicking-and-prediction-guided-feature-imitation/},
}

@inproceedings{neurips2022_knowledge_63732,
  title = {{Knowledge Distillation from A Stronger Teacher}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54366},
}

@inproceedings{neurips2022_pkd_64874,
  title = {{PKD: General Distillation Framework for Object Detectors via Pearson Correlation Coefficient}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54207},
}

@inproceedings{neurips2021_distilling_62587,
  title = {{Distilling Object Detectors with Feature Richness}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28209},
}

@inproceedings{aaai2022_lgd_2293,
  title = {{LGD: Label-Guided Self-Distillation for Object Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/03309-lgd-label-guided-self-distillation-for-object-detection/},
}

@inproceedings{cvpr2024_kd_23858,
  title = {{KD-DETR: Knowledge Distillation for Detection Transformer with Consistent Distillation Points Sampling}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30578},
}

@inproceedings{neurips2022_structural_64787,
  title = {{Structural Knowledge Distillation for Object Detection}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/52856},
}

@inproceedings{cvpr2024_vkd_25255,
  title = {{VkD: Improving Knowledge Distillation using Orthogonal Projections}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30989},
}

@inproceedings{aaai2025_dcsf_8594,
  title = {{DCSF-KD: Dynamic Channel-wise Spatial Feature Knowledge Distillation for Object Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32266},
}

@inproceedings{neurips2021_instance_63010,
  title = {{Instance-Conditional Knowledge Distillation for Object Detection}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27035},
}

@inproceedings{icml2023_learning_42663,
  title = {{Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/23867},
}

@inproceedings{neurips2021_distilling_63351,
  title = {{Distilling Image Classifiers in Object Detectors}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27445},
}

@inproceedings{aaai2026_distilling_105587,
  title = {{Distilling Future Temporal Knowledge with Masked Feature Reconstruction for 3D Object Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38343},
}

@inproceedings{icml2024_dfd_44103,
  title = {{DFD: Distilling the Feature Disparity Differently for Detectors}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34349},
}

@inproceedings{iclr2026_od_86978,
  title = {{OD\$^3\$: Optimization-free Dataset Distillation for Object Detection}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=W6gbWvvovB},
}