% Key papers for Region-based and query-based detectors (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2016_you_11986,
  title = {{You Only Look Once: Unified, Real-Time Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2017_feature_12270,
  title = {{Feature Pyramid Networks for Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2017_yolo9000_12764,
  title = {{YOLO9000: Better, Faster, Stronger}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2023_yolov7_22583,
  title = {{YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22602},
}

@inproceedings{cvpr2020_efficientdet_15465,
  title = {{EfficientDet: Scalable and Efficient Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{neurips2016_r_55952,
  title = {{R-FCN: Object Detection via Region-based Fully Convolutional Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7403},
}

@inproceedings{cvpr2016_training_11936,
  title = {{Training Region-Based Object Detectors With Online Hard Example Mining}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2017_speed_12658,
  title = {{Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2019_nas_14557,
  title = {{NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{iclr2021_deformable_30527,
  title = {{Deformable DETR: Deformable Transformers for End-to-End Object Detection}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/3105},
}

@inproceedings{cvpr2019_libra_14467,
  title = {{Libra R-CNN: Towards Balanced Learning for Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2018_single_13592,
  title = {{Single-Shot Refinement Neural Network for Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_Single-Shot_Refinement_Neural_CVPR_2018_paper.html},
}

@inproceedings{cvpr2021_scaled_17823,
  title = {{Scaled-YOLOv4: Scaling Cross Stage Partial Network}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2021_sparse_17923,
  title = {{Sparse R-CNN: End-to-End Object Detection With Learnable Proposals}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2021_varifocalnet_18115,
  title = {{VarifocalNet: An IoU-Aware Dense Object Detector}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2019_bottom_13904,
  title = {{Bottom-Up Object Detection by Grouping Extreme and Center Points}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2018_an_12832,
  title = {{An Analysis of Scale Invariance in Object Detection ­ SNIP}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Singh_An_Analysis_of_CVPR_2018_paper.html},
}

@inproceedings{aaai2019_m2det_103563,
  title = {{M2Det: A Single-Shot Object Detector Based on Multi-Level Feature Pyramid Network}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4962},
}

@inproceedings{cvpr2016_hypernet_11599,
  title = {{HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2021_you_18159,
  title = {{You Only Look One-Level Feature}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{neurips2025_yolov12_78582,
  title = {{YOLOv12: Attention-Centric Real-Time Object Detectors}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=gCvByDI4FN},
}

@inproceedings{cvpr2025_deim_25818,
  title = {{DEIM: DETR with Improved Matching for Fast Convergence}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32773},
}

@inproceedings{cvpr2024_salience_24736,
  title = {{Salience DETR: Enhancing Detection Transformer with Hierarchical Salience Filtering Refinement}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29297},
}

@inproceedings{cvpr2024_ms_24081,
  title = {{MS-DETR: Efficient DETR Training with Mixed Supervision}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30389},
}

@inproceedings{aaai2024_amsp_5100,
  title = {{AMSP-UOD: When Vortex Convolution and Stochastic Perturbation Meet Underwater Object Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28599},
}

@inproceedings{aaai2024_transgop_7636,
  title = {{TransGOP: Transformer-Based Gaze Object Prediction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28883},
}

@inproceedings{aaai2026_strip_105461,
  title = {{Strip R-CNN: Large Strip Convolution for Remote Sensing Object Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38217},
}

@inproceedings{cvpr2024_hybrid_23730,
  title = {{Hybrid Proposal Refiner: Revisiting DETR Series from the Faster R-CNN Perspective}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30902},
}

@inproceedings{cvpr2025_mi_26859,
  title = {{MI-DETR: An Object Detection Model with Multi-time Inquiries Mechanism}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33559},
}

@inproceedings{neurips2024_frozen_73188,
  title = {{Frozen-DETR: Enhancing DETR with Image Understanding from Frozen Foundation Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94245},
}

@inproceedings{neurips2024_accelerating_70173,
  title = {{Accelerating Non-Maximum Suppression: A Graph Theory Perspective}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96910},
}

@inproceedings{aaai2025_microfiberdetect_9950,
  title = {{MicroFiberDetect: An Application for the Detection of Microfibres in Wastewater Sludge Based on CNNs}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35366},
}

@inproceedings{neurips2024_adaptive_73209,
  title = {{Adaptive Important Region Selection with Reinforced Hierarchical Search for Dense Object Detection}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94227},
}

@inproceedings{aaai2026_temporal_101196,
  title = {{Temporal Object-Aware Vision Transformer for Few-Shot Video Object Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37497},
}

@inproceedings{iclr2025_union_81568,
  title = {{Union-over-Intersections: Object Detection beyond Winner-Takes-All}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30208},
}

@inproceedings{iclr2025_yolo_81727,
  title = {{YOLO-RD: Introducing Relevant and Compact Explicit Knowledge to YOLO by Retriever-Dictionary}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30052},
}

@inproceedings{iclr2026_inlier_85615,
  title = {{Inlier-Centric Post-Training Quantization for Object Detection Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=GN9otzf5o6},
}

@inproceedings{neurips2026_contextshift_91173,
  title = {{ContextShift: A Controlled Benchmark for Context Dependence in Object Detection}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/139652},
}

@inproceedings{neurips2026_order_94356,
  title = {{Order Matters: Competition-Guided Query Ordering for RNN-Based Object Detection}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/152864},
}

@inproceedings{cvpr2026_portable_96038,
  title = {{Portable Active Learning for Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Sharma_Portable_Active_Learning_for_Object_Detection_CVPR_2026_paper.html},
}