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

@inproceedings{cvpr2019_mvtec_14498,
  title = {{MVTec AD -- A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2022_towards_20065,
  title = {{Towards Total Recall in Industrial Anomaly Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2020_uninformed_16404,
  title = {{Uninformed Students: Student-Teacher Anomaly Detection With Discriminative Latent Embeddings}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{neurips2018_deep_56997,
  title = {{Deep Anomaly Detection Using Geometric Transformations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11927},
}

@inproceedings{cvpr2019_sixray_14760,
  title = {{SIXray: A Large-Scale Security Inspection X-Ray Benchmark for Prohibited Item Discovery in Overlapping Images}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2021_anomaly_16599,
  title = {{Anomaly Detection in Video via Self-Supervised and Multi-Task Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{aaai2020_scalable_100287,
  title = {{Scalable and Generalizable Social Bot Detection through Data Selection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5460},
}

@inproceedings{cvpr2023_destseg_20720,
  title = {{DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21768},
}

@inproceedings{cvpr2020_advancing_15126,
  title = {{Advancing High Fidelity Identity Swapping for Forgery Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2023_hierarchical_21149,
  title = {{Hierarchical Fine-Grained Image Forgery Detection and Localization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21252},
}

@inproceedings{aaai2021_learning_895,
  title = {{Learning Semantic Context from Normal Samples for Unsupervised Anomaly Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/03110-learning-semantic-context-from-normal-samples-for-unsupervised-anomaly-detection/},
}

@inproceedings{cvpr2021_pixel_17610,
  title = {{Pixel-Wise Anomaly Detection in Complex Driving Scenes}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{aaai2022_frepgan_2126,
  title = {{FrePGAN: Robust Deepfake Detection Using Frequency-Level Perturbations}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/01060-frepgan-robust-deepfake-detection-using-frequency-level-perturbations/},
}

@inproceedings{cvpr2024_real_24587,
  title = {{Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30294},
}

@inproceedings{aaai2019_cooperative_99682,
  title = {{Cooperative Multimodal Approach to Depression Detection in Twitter}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/3775},
}

@inproceedings{cvpr2023_prototypical_21942,
  title = {{Prototypical Residual Networks for Anomaly Detection and Localization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22274},
}

@inproceedings{cvpr2021_hla_17103,
  title = {{HLA-Face: Joint High-Low Adaptation for Low Light Face Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2023_omnial_21748,
  title = {{OmniAL: A Unified CNN Framework for Unsupervised Anomaly Localization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22097},
}

@inproceedings{cvpr2016_detection_11496,
  title = {{Detection and Accurate Localization of Circular Fiducials Under Highly Challenging Conditions}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2024_multimodal_24226,
  title = {{Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30320},
}

@inproceedings{cvpr2025_forensics_26300,
  title = {{Forensics Adapter: Adapting CLIP for Generalizable Face Forgery Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33184},
}

@inproceedings{aaai2025_c2p_8323,
  title = {{C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32772},
}

@inproceedings{neurips2024_df40_72395,
  title = {{DF40: Toward Next-Generation Deepfake Detection}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/97670},
}

@inproceedings{cvpr2024_supervised_24917,
  title = {{Supervised Anomaly Detection for Complex Industrial Images}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30567},
}

@inproceedings{aaai2024_few_6008,
  title = {{Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28703},
}

@inproceedings{cvpr2025_manta_26835,
  title = {{MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34486},
}

@inproceedings{cvpr2024_etram_25318,
  title = {{eTraM: Event-based Traffic Monitoring Dataset}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29313},
}

@inproceedings{aaai2025_safire_10588,
  title = {{SAFIRE: Segment Any Forged Image Region}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32467},
}

@inproceedings{cvpr2025_multi_27024,
  title = {{Multi-Sensor Object Anomaly Detection: Unifying Appearance, Geometry, and Internal Properties}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33045},
}

@inproceedings{neurips2024_imdl_73090,
  title = {{IMDL-BenCo: A Comprehensive Benchmark and Codebase for Image Manipulation Detection \& Localization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/97594},
}

@inproceedings{aaai2025_3cad_7863,
  title = {{3CAD: A Large-Scale Real-World 3C Product Dataset for Unsupervised Anomaly Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32993},
}

@inproceedings{neurips2024_ft_73420,
  title = {{FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/97562},
}

@inproceedings{cvpr2025_dual_26025,
  title = {{Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32961},
}

@inproceedings{aaai2024_reading_7069,
  title = {{Reading between the Lines: Image-Based Order Detection in OCR for Chinese Historical Documents}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30572},
}

@inproceedings{cvpr2024_towards_25031,
  title = {{Towards Automatic Power Battery Detection: New Challenge Benchmark Dataset and Baseline}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29652},
}

@inproceedings{aaai2024_self_7294,
  title = {{Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30162},
}

@inproceedings{neurips2024_towards_72001,
  title = {{Towards Comprehensive Detection of Chinese Harmful Memes}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/97711},
}

@inproceedings{aaai2025_contradicted_8527,
  title = {{Contradicted in Reliable, Replicated in Unreliable: Dual-Source Reference for Fake News Early Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34562},
}