% Key papers for Box regression and loss design (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{aaai2020_distance_103892,
  title = {{Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6999},
}

@inproceedings{cvpr2020_bridging_15213,
  title = {{Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training Sample Selection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2019_learning_14415,
  title = {{Learning RoI Transformer for Oriented Object Detection in Aerial Images}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{aaai2021_r3det_1222,
  title = {{R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/03163-r3det-refined-single-stage-detector-with-feature-refinement-for-rotating-object/},
}

@inproceedings{cvpr2019_feature_14204,
  title = {{Feature Selective Anchor-Free Module for Single-Shot Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2021_redet_17703,
  title = {{ReDet: A Rotation-Equivariant Detector for Aerial Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2017_finding_12274,
  title = {{Finding Tiny Faces}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2020_rethinking_16114,
  title = {{Rethinking Classification and Localization for Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2019_region_14721,
  title = {{Region Proposal by Guided Anchoring}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2019_bounding_13905,
  title = {{Bounding Box Regression With Uncertainty for Accurate Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2022_oriented_19529,
  title = {{Oriented RepPoints for Aerial Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2021_generalized_17068,
  title = {{Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2020_dynamic_15452,
  title = {{Dynamic Refinement Network for Oriented and Densely Packed Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{aaai2021_dynamic_474,
  title = {{Dynamic Anchor Learning for Arbitrary-Oriented Object Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/02355-dynamic-anchor-learning-for-arbitrary-oriented-object-detection/},
}

@inproceedings{aaai2021_learning_888,
  title = {{Learning Modulated Loss for Rotated Object Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/02458-learning-modulated-loss-for-rotated-object-detection/},
}

@inproceedings{aaai2022_shape_2735,
  title = {{Shape-Adaptive Selection and Measurement for Oriented Object Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/00923-shape-adaptive-selection-and-measurement-for-oriented-object-detection/},
}

@inproceedings{neurips2020_generalized_59934,
  title = {{Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17073},
}

@inproceedings{cvpr2018_improving_13219,
  title = {{Improving Object Localization With Fitness NMS and Bounded IoU Loss}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Tychsen-Smith_Improving_Object_Localization_CVPR_2018_paper.html},
}

@inproceedings{neurips2021_learning_63214,
  title = {{Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27739},
}

@inproceedings{icml2021_rethinking_39878,
  title = {{Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/9045},
}

@inproceedings{aaai2025_fbrt_9102,
  title = {{FBRT-YOLO: Faster and Better for Real-Time Aerial Image Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32937},
}

@inproceedings{aaai2025_remdet_10512,
  title = {{RemDet: Rethinking Efficient Model Design for UAV Object Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32490},
}

@inproceedings{cvpr2024_rethinking_24627,
  title = {{Rethinking Boundary Discontinuity Problem for Oriented Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30746},
}

@inproceedings{cvpr2024_theoretically_25012,
  title = {{Theoretically Achieving Continuous Representation of Oriented Bounding Boxes}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30213},
}

@inproceedings{iclr2024_strategic_34995,
  title = {{Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18079},
}

@inproceedings{aaai2024_fred_5941,
  title = {{FRED: Towards a Full Rotation-Equivariance in Aerial Image Object Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28069},
}

@inproceedings{cvpr2025_rediffdet_27386,
  title = {{ReDiffDet: Rotation-equivariant Diffusion Model for Oriented Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/35100},
}

@inproceedings{cvpr2025_gaucho_26381,
  title = {{GauCho: Gaussian Distributions with Cholesky Decomposition for Oriented Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34030},
}

@inproceedings{aaai2024_semantic_7306,
  title = {{Semantic-Aware Transformation-Invariant RoI Align}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28469},
}

@inproceedings{neurips2025_delving_80426,
  title = {{Delving into Cascaded Instability: A Lipschitz Continuity View on Image Restoration and Object Detection Synergy}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=zPgPDHupcE},
}

@inproceedings{aaai2026_generalized_104251,
  title = {{Generalized-Scale Object Counting with Gradual Query Aggregation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37780},
}

@inproceedings{aaai2026_simrod_104894,
  title = {{SimROD: A Simple Baseline for Raw Object Detection with Global and Local Enhancements}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38083},
}

@inproceedings{aaai2026_hilbert_104224,
  title = {{Hilbert Curve-Encoded Rotation-Equivariant Oriented Object Detector with Locality-Preserving Spatial Mapping}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37753},
}

@inproceedings{cvpr2025_diskvps_25961,
  title = {{DiskVPS: Vanishing Point Detector via Hough Transform in a Disk Region}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34640},
}

@inproceedings{iclr2024_bounding_35154,
  title = {{Bounding Box Stability against Feature Dropout Reflects Detector Generalization across Environments}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17919},
}

@inproceedings{iclr2025_r2det_81371,
  title = {{R2Det: Exploring Relaxed Rotation Equivariance in 2D Object Detection}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30402},
}

@inproceedings{iclr2026_towards_86113,
  title = {{Towards Reliable Detection of Empty Space: Conditional Marked Point Processes for Object Detection}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=M2KLWLHzX0},
}

@inproceedings{cvpr2026_fourier_98257,
  title = {{Fourier Angle Alignment for Oriented Object Detection in Remote Sensing}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Gu_Fourier_Angle_Alignment_for_Oriented_Object_Detection_in_Remote_Sensing_CVPR_2026_paper.html},
}

@inproceedings{aaai2026_pixel_105655,
  title = {{Pixel-level Quality Assessment for Oriented Object Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38411},
}

@inproceedings{iclr2026_certifying_85090,
  title = {{Certifying the Full YOLO Pipeline: A Probabilistic Verification Approach}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=AMCFpquOtZ},
}