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

@inproceedings{cvpr2018_domain_13036,
  title = {{Domain Adaptive Faster R-CNN for Object Detection in the Wild}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Chen_Domain_Adaptive_Faster_CVPR_2018_paper.html},
}

@inproceedings{cvpr2019_strong_14877,
  title = {{Strong-Weak Distribution Alignment for Adaptive Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2019_adapting_13823,
  title = {{Adapting Object Detectors via Selective Cross-Domain Alignment}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2021_unbiased_18064,
  title = {{Unbiased Mean Teacher for Cross-Domain Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2019_diversify_14102,
  title = {{Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{aaai2018_lstd_102449,
  title = {{LSTD: A Low-Shot Transfer Detector for Object Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11716},
}

@inproceedings{cvpr2020_exploring_15505,
  title = {{Exploring Categorical Regularization for Domain Adaptive Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2020_cross_15304,
  title = {{Cross-Domain Detection via Graph-Induced Prototype Alignment}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2020_cross_15315,
  title = {{Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2021_mega_17393,
  title = {{MeGA-CDA: Memory Guided Attention for Category-Aware Unsupervised Domain Adaptive Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2019_towards_14934,
  title = {{Towards Universal Object Detection by Domain Attention}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2022_single_19885,
  title = {{Single-Domain Generalized Object Detection in Urban Scene via Cyclic-Disentangled Self-Distillation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2023_clip_20539,
  title = {{CLIP the Gap: A Single Domain Generalization Approach for Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22474},
}

@inproceedings{cvpr2022_task_19988,
  title = {{Task-Specific Inconsistency Alignment for Domain Adaptive Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2022_multi_19378,
  title = {{Multi-Granularity Alignment Domain Adaptation for Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2021_rpn_17688,
  title = {{RPN Prototype Alignment for Domain Adaptive Object Detector}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2023_instance_21257,
  title = {{Instance Relation Graph Guided Source-Free Domain Adaptive Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21995},
}

@inproceedings{cvpr2022_cross_18541,
  title = {{Cross Domain Object Detection by Target-Perceived Dual Branch Distillation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{aaai2020_context_103850,
  title = {{Context-Transformer: Tackling Object Confusion for Few-Shot Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6957},
}

@inproceedings{cvpr2018_people_13461,
  title = {{People, Penguins and Petri Dishes: Adapting Object Counting Models to New Visual Domains and Object Types Without Forgetting}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Marsden_People_Penguins_and_CVPR_2018_paper.html},
}

@inproceedings{cvpr2024_boosting_22867,
  title = {{Boosting Object Detection with Zero-Shot Day-Night Domain Adaptation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29448},
}

@inproceedings{aaai2024_object_6812,
  title = {{Object-Aware Domain Generalization for Object Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28076},
}

@inproceedings{cvpr2024_unbiased_25114,
  title = {{Unbiased Faster R-CNN for Single-source Domain Generalized Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30579},
}

@inproceedings{neurips2024_sardet_72863,
  title = {{SARDet-100K: Towards Open-Source Benchmark and ToolKit for Large-Scale SAR Object Detection}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94539},
}

@inproceedings{cvpr2024_improving_23779,
  title = {{Improving Single Domain-Generalized Object Detection: A Focus on Diversification and Alignment}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31777},
}

@inproceedings{aaai2024_g_6077,
  title = {{G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28410},
}

@inproceedings{cvpr2024_d3t_23076,
  title = {{D3T: Distinctive Dual-Domain Teacher Zigzagging Across RGB-Thermal Gap for Domain-Adaptive Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30793},
}

@inproceedings{aaai2024_isp_6257,
  title = {{ISP-Teacher:Image Signal Process with Disentanglement Regularization for Unsupervised Domain Adaptive Dark Object Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28569},
}

@inproceedings{cvpr2024_generalizing_23599,
  title = {{Generalizing 6-DoF Grasp Detection via Domain Prior Knowledge}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29537},
}

@inproceedings{aaai2025_physaug_10297,
  title = {{PhysAug: A Physical-guided and Frequency-based Data Augmentation for Single-Domain Generalized Object Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35487},
}

@inproceedings{cvpr2025_seen_27513,
  title = {{SEEN-DA: SEmantic ENtropy guided Domain-aware Attention for Domain Adaptive Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34570},
}

@inproceedings{aaai2025_differential_8734,
  title = {{Differential Alignment for Domain Adaptive Object Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33885},
}

@inproceedings{cvpr2024_active_22708,
  title = {{Active Domain Adaptation with False Negative Prediction for Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30672},
}

@inproceedings{aaai2025_leveraging_9771,
  title = {{Leveraging Anatomical Consistency for Multi-Object Detection in Ultrasound Images via Source-free Unsupervised Domain Adaptation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32700},
}

@inproceedings{aaai2025_universal_11161,
  title = {{Universal Domain Adaptive Object Detection via Dual Probabilistic Alignment}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33156},
}

@inproceedings{neurips2024_da_73415,
  title = {{DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94044},
}

@inproceedings{aaai2024_triple_7656,
  title = {{Triple Feature Disentanglement for One-Stage Adaptive Object Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28348},
}

@inproceedings{cvpr2025_benchmarking_25573,
  title = {{Benchmarking Object Detectors under Real-World Distribution Shifts in Satellite Imagery}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32546},
}

@inproceedings{cvpr2025_towards_27921,
  title = {{Towards RAW Object Detection in Diverse Conditions}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33667},
}

@inproceedings{aaai2024_supervision_7443,
  title = {{Supervision Interpolation via LossMix: Generalizing Mixup for Object Detection and Beyond}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28335},
}