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

@inproceedings{cvpr2016_the_11919,
  title = {{The Cityscapes Dataset for Semantic Urban Scene Understanding}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2018_dota_12944,
  title = {{DOTA: A Large-Scale Dataset for Object Detection in Aerial Images}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Xia_DOTA_A_Large-Scale_CVPR_2018_paper.html},
}

@inproceedings{cvpr2016_wider_11968,
  title = {{WIDER FACE: A Face Detection Benchmark}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2020_camouflaged_15230,
  title = {{Camouflaged Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2017_perceptual_12527,
  title = {{Perceptual Generative Adversarial Networks for Small Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2017_a_12030,
  title = {{A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2021_simultaneously_17901,
  title = {{Simultaneously Localize, Segment and Rank the Camouflaged Objects}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2017_youtube_12765,
  title = {{YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2021_towards_18027,
  title = {{Towards Open World Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2019_shifting_14821,
  title = {{Shifting More Attention to Video Salient Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2020_equalization_15488,
  title = {{Equalization Loss for Long-Tailed Object Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2022_zoom_20243,
  title = {{Zoom in and Out: A Mixed-Scale Triplet Network for Camouflaged Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2016_how_11595,
  title = {{How Far Are We From Solving Pedestrian Detection?}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{neurips2020_rethinking_60713,
  title = {{Rethinking Pre-training and Self-training}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18114},
}

@inproceedings{cvpr2022_detecting_18653,
  title = {{Detecting Camouflaged Object in Frequency Domain}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2020_overcoming_16001,
  title = {{Overcoming Classifier Imbalance for Long-Tail Object Detection With Balanced Group Softmax}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{neurips2019_objectnet_58699,
  title = {{ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13982},
}

@inproceedings{cvpr2019_precise_14664,
  title = {{Precise Detection in Densely Packed Scenes}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2018_wildtrack_13717,
  title = {{WILDTRACK: A Multi-Camera HD Dataset for Dense Unscripted Pedestrian Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Chavdarova_WILDTRACK_A_Multi-Camera_CVPR_2018_paper.html},
}

@inproceedings{cvpr2022_objectformer_19490,
  title = {{ObjectFormer for Image Manipulation Detection and Localization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2024_vscode_25196,
  title = {{VSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30482},
}

@inproceedings{aaai2024_camodiffusion_5368,
  title = {{CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion Models}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27890},
}

@inproceedings{cvpr2025_aerogen_25460,
  title = {{AeroGen: Enhancing Remote Sensing Object Detection with Diffusion-Driven Data Generation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33948},
}

@inproceedings{cvpr2024_aide_22682,
  title = {{AIDE: An Automatic Data Engine for Object Detection in Autonomous Driving}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29457},
}

@inproceedings{cvpr2024_causal_22955,
  title = {{Causal Mode Multiplexer: A Novel Framework for Unbiased Multispectral Pedestrian Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29365},
}

@inproceedings{aaai2024_hyp_6233,
  title = {{Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27921},
}

@inproceedings{cvpr2024_exploring_23411,
  title = {{Exploring Orthogonality in Open World Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30295},
}

@inproceedings{aaai2024_semi_7315,
  title = {{Semi-supervised Open-World Object Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28227},
}

@inproceedings{aaai2024_exploiting_5908,
  title = {{Exploiting Polarized Material Cues for Robust Car Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27922},
}

@inproceedings{aaai2024_towards_7594,
  title = {{Towards Evidential and Class Separable Open Set Object Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28367},
}

@inproceedings{aaai2025_self_10720,
  title = {{Self-Prompting Analogical Reasoning for UAV Object Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34026},
}

@inproceedings{cvpr2024_radsimreal_24573,
  title = {{RadSimReal: Bridging the Gap Between Synthetic and Real Data in Radar Object Detection With Simulation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29877},
}

@inproceedings{cvpr2024_yolood_25300,
  title = {{YolOOD: Utilizing Object Detection Concepts for Multi-Label Out-of-Distribution Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30110},
}

@inproceedings{cvpr2025_shift_27659,
  title = {{Shift the Lens: Environment-Aware Unsupervised Camouflaged Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32742},
}

@inproceedings{cvpr2025_test_27841,
  title = {{Test-Time Backdoor Detection for Object Detection Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32699},
}

@inproceedings{aaai2024_debiased_5608,
  title = {{Debiased Novel Category Discovering and Localization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27943},
}

@inproceedings{aaai2024_learn_6433,
  title = {{Learn How to See: Collaborative Embodied Learning for Object Detection and Camera Adjusting}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28281},
}

@inproceedings{aaai2025_alignment_8085,
  title = {{Alignment-Free RGB-T Salient Object Detection: A Large-Scale Dataset and Progressive Correlation Network}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32838},
}

@inproceedings{aaai2025_sdalsnet_10699,
  title = {{SdalsNet: Self-Distilled Attention Localization and Shift Network for Unsupervised Camouflaged Object Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32742},
}

@inproceedings{cvpr2025_simltd_27672,
  title = {{SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32569},
}