CVPR 2025 Open Access Repository

VAND: Visual Anomaly and Novelty Detection - 3rd Edition

Multi-Flow: Multi-View-Enriched Normalizing Flows for Industrial Anomaly Detection: Mathis Kruse,

Bodo Rosenhahn; [pdf] [supp]
[bibtex]
@InProceedings{Kruse_2025_CVPR, author = {Kruse, Mathis and Rosenhahn, Bodo}, title = {Multi-Flow: Multi-View-Enriched Normalizing Flows for Industrial Anomaly Detection}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {3933-3944} }
Scene-Specific Anomalous Relationship Detection Using Scene Graph Summarization: Yu-Chen Lai,

Motoharu Sonogashira,

Itthisak Phueaksri,

Yasutomo Kawanishi; [pdf] [supp]
[bibtex]
@InProceedings{Lai_2025_CVPR, author = {Lai, Yu-Chen and Sonogashira, Motoharu and Phueaksri, Itthisak and Kawanishi, Yasutomo}, title = {Scene-Specific Anomalous Relationship Detection Using Scene Graph Summarization}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {3995-4003} }
PaSTe: Improving the Efficiency of Visual Anomaly Detection at the Edge: Manuel Barusco,

Francesco Borsatti,

Davide Dalle Pezze,

Francesco Paissan,

Elisabetta Farella,

Gian Antonio Susto; [pdf] [arXiv]
[bibtex]
@InProceedings{Barusco_2025_CVPR, author = {Barusco, Manuel and Borsatti, Francesco and Pezze, Davide Dalle and Paissan, Francesco and Farella, Elisabetta and Susto, Gian Antonio}, title = {PaSTe: Improving the Efficiency of Visual Anomaly Detection at the Edge}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {4026-4035} }
SK-RD4AD : Skip-Connected Reverse Distillation For Robust One-Class Anomaly Detection: EunJu Park,

Taekyung Kim,

Minju Kim,

Hojun Lee,

Gil-Jun Lee; [pdf]
[bibtex]
@InProceedings{Park_2025_CVPR, author = {Park, EunJu and Kim, Taekyung and Kim, Minju and Lee, Hojun and Lee, Gil-Jun}, title = {SK-RD4AD : Skip-Connected Reverse Distillation For Robust One-Class Anomaly Detection}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {3945-3953} }
When Textures Deceive: Weakly Supervised Industrial Anomaly Detection with Adapted-Loss CycleGAN: Tapan Ganatma Nakkina,

Yuhao Zhong,

Pete Sumethasorn,

Haopeng Tian,

Satish Bukkapatnam; [pdf] [supp]
[bibtex]
@InProceedings{Nakkina_2025_CVPR, author = {Nakkina, Tapan Ganatma and Zhong, Yuhao and Sumethasorn, Pete and Tian, Haopeng and Bukkapatnam, Satish}, title = {When Textures Deceive: Weakly Supervised Industrial Anomaly Detection with Adapted-Loss CycleGAN}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {4068-4077} }
Feature Attenuation of Defective Representation Can Resolve Incomplete Masking on Anomaly Detection: YeongHyeon Park,

Sungho Kang,

Myung Jin Kim,

Hyeong Seok Kim,

Juneho Yi; [pdf] [arXiv]
[bibtex]
@InProceedings{Park_2025_CVPR, author = {Park, YeongHyeon and Kang, Sungho and Kim, Myung Jin and Kim, Hyeong Seok and Yi, Juneho}, title = {Feature Attenuation of Defective Representation Can Resolve Incomplete Masking on Anomaly Detection}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {3922-3932} }
Detect, Classify, Act: Categorizing Industrial Anomalies with Multi-Modal Large Language Models: Sassan Mokhtar,

Arian Mousakhan,

Silvio Galesso,

Jawad Tayyub,

Thomas Brox; [pdf] [arXiv]
[bibtex]
@InProceedings{Mokhtar_2025_CVPR, author = {Mokhtar, Sassan and Mousakhan, Arian and Galesso, Silvio and Tayyub, Jawad and Brox, Thomas}, title = {Detect, Classify, Act: Categorizing Industrial Anomalies with Multi-Modal Large Language Models}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {4058-4067} }
Beyond Academic Benchmarks: Critical Analysis and Best Practices for Visual Industrial Anomaly Detection: Aimira Baitieva,

Yacine Bouaouni,

Alexandre Briot,

Dick Ameln,

Souhaiel Khalfaoui,

Samet Akcay; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Baitieva_2025_CVPR, author = {Baitieva, Aimira and Bouaouni, Yacine and Briot, Alexandre and Ameln, Dick and Khalfaoui, Souhaiel and Akcay, Samet}, title = {Beyond Academic Benchmarks: Critical Analysis and Best Practices for Visual Industrial Anomaly Detection}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {4015-4025} }
Automated Essential Concept Discovery for Few-Shot Out-of-Distribution Detection: Guangyao Chen,

Kai Horstmann,

Zhilong Wang,

Fengqi You; [pdf]
[bibtex]
@InProceedings{Chen_2025_CVPR, author = {Chen, Guangyao and Horstmann, Kai and Wang, Zhilong and You, Fengqi}, title = {Automated Essential Concept Discovery for Few-Shot Out-of-Distribution Detection}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {3964-3974} }
FusedVision: A Knowledge-Infusing Approach for Practical Anomaly Detection in Real-world Surveillance Videos: Khaled Dawoud,

Zaigham Zaheer,

Mustaqeem Khan,

Karthik Nandakumar,

Abdulmotaleb Elsaddik,

Muhammad Haris Khan; [pdf] [supp]
[bibtex]
@InProceedings{Dawoud_2025_CVPR, author = {Dawoud, Khaled and Zaheer, Zaigham and Khan, Mustaqeem and Nandakumar, Karthik and Elsaddik, Abdulmotaleb and Khan, Muhammad Haris}, title = {FusedVision: A Knowledge-Infusing Approach for Practical Anomaly Detection in Real-world Surveillance Videos}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {4036-4046} }
Multi-layer Radial Basis Function Networks for Out-of-distribution Detection: Amol Khanna,

Chenyi Ling,

Derek Everett,

Edward Raff,

Nathan Inkawhich; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Khanna_2025_CVPR, author = {Khanna, Amol and Ling, Chenyi and Everett, Derek and Raff, Edward and Inkawhich, Nathan}, title = {Multi-layer Radial Basis Function Networks for Out-of-distribution Detection}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {3954-3963} }
Semi-supervised Object-Wise Anomaly Detection for Firearm and Firearm Component Detection in X-ray Security Imagery: Yona Falinie A. Gaus,

Brian K.S. Isaac Medina,

Neelanjan Bhowmik,

Yam T. Lee,

Toby Breckon; [pdf]
[bibtex]
@InProceedings{Gaus_2025_CVPR, author = {Gaus, Yona Falinie A. and Medina, Brian K.S. Isaac and Bhowmik, Neelanjan and Lee, Yam T. and Breckon, Toby}, title = {Semi-supervised Object-Wise Anomaly Detection for Firearm and Firearm Component Detection in X-ray Security Imagery}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {4004-4014} }
No-MambAAD: Revitalizing Conv-Only Networks for Unsupervised Anomaly Detection: Masud An Nur Islam Fahim,

Jani Boutellier; [pdf]
[bibtex]
@InProceedings{Fahim_2025_CVPR, author = {Fahim, Masud An Nur Islam and Boutellier, Jani}, title = {No-MambAAD: Revitalizing Conv-Only Networks for Unsupervised Anomaly Detection}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {3986-3994} }
SmartHome-Bench: A Comprehensive Benchmark for Video Anomaly Detection in Smart Homes Using Multi-Modal Large Language Models: Xinyi Zhao,

Congjing Zhang,

Pei Guo,

Wei Li,

Lin Chen,

Chaoyue Zhao,

Shuai Huang; [pdf] [supp]
[bibtex]
@InProceedings{Zhao_2025_CVPR, author = {Zhao, Xinyi and Zhang, Congjing and Guo, Pei and Li, Wei and Chen, Lin and Zhao, Chaoyue and Huang, Shuai}, title = {SmartHome-Bench: A Comprehensive Benchmark for Video Anomaly Detection in Smart Homes Using Multi-Modal Large Language Models}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {3975-3985} }
Robust AD: A Real World Benchmark Dataset For Robustness in Industrial Anomaly Detection: Latha Pemula,

Dongqing Zhang,

Onkar Dabeer; [pdf] [supp]
[bibtex]
@InProceedings{Pemula_2025_CVPR, author = {Pemula, Latha and Zhang, Dongqing and Dabeer, Onkar}, title = {Robust AD: A Real World Benchmark Dataset For Robustness in Industrial Anomaly Detection}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {4047-4057} }