CVPR 2026 Open Access Repository

Visual Anomaly and Novelty Detection - 4th Edition

From Surveillance to Mobile Robots: Regime-Aware Video Anomaly Detection: Tatsuya Sasaki,

Yoshiki Ito,

Koichiro Yawata,

Kota Dohi,

Yusuke Ohtsubo,

Koki Takeshita; [pdf] [supp]
[bibtex]
@InProceedings{Sasaki_2026_CVPR, author = {Sasaki, Tatsuya and Ito, Yoshiki and Yawata, Koichiro and Dohi, Kota and Ohtsubo, Yusuke and Takeshita, Koki}, title = {From Surveillance to Mobile Robots: Regime-Aware Video Anomaly Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {7752-7761} }
STREAM-OOD: Regime-Aware Sequential Monitoring for Streaming Out-of-Distribution Detection: Boshra Khalili,

Alec Bardey,

Andrew W Smyth; [pdf] [supp]
[bibtex]
@InProceedings{Khalili_2026_CVPR, author = {Khalili, Boshra and Bardey, Alec and Smyth, Andrew W}, title = {STREAM-OOD: Regime-Aware Sequential Monitoring for Streaming Out-of-Distribution Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {7732-7741} }
Not All NVFP4 QAT Recipes Are Equal: How Architecture and Scale Shape Model Quality for Anomaly Segmentation: Zijian Du,

Oleg Rybakov; [pdf]
[bibtex]
@InProceedings{Du_2026_CVPR, author = {Du, Zijian and Rybakov, Oleg}, title = {Not All NVFP4 QAT Recipes Are Equal: How Architecture and Scale Shape Model Quality for Anomaly Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {7713-7721} }
MIRAGE: Model-agnostic Industrial Realistic Anomaly Generation and Evaluation for Visual Anomaly Detection: Jinwei Hu,

Francesco Borsatti,

Arianna Stropeni,

Davide Dalle Pezze,

Manuel Barusco,

Gian Antonio Susto; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hu_2026_CVPR, author = {Hu, Jinwei and Borsatti, Francesco and Stropeni, Arianna and Pezze, Davide Dalle and Barusco, Manuel and Susto, Gian Antonio}, title = {MIRAGE: Model-agnostic Industrial Realistic Anomaly Generation and Evaluation for Visual Anomaly Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {7722-7731} }
PALADIN: Prompt-Aligned Localization and Anomaly Detection with DINOv3: Arda Basaran; [pdf] [supp]
[bibtex]
@InProceedings{Basaran_2026_CVPR, author = {Basaran, Arda}, title = {PALADIN: Prompt-Aligned Localization and Anomaly Detection with DINOv3}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {7693-7701} }
Novel Anomaly Detection Scenarios and Evaluation Metrics to Address the Ambiguity in the Definition of Normal Samples: Reiji Saito,

Satoshi Kamiya,

Kazuhiro Hotta; [pdf] [arXiv]
[bibtex]
@InProceedings{Saito_2026_CVPR, author = {Saito, Reiji and Kamiya, Satoshi and Hotta, Kazuhiro}, title = {Novel Anomaly Detection Scenarios and Evaluation Metrics to Address the Ambiguity in the Definition of Normal Samples}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {7742-7751} }
Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection: Tri Cao,

Minh-Huy Trinh,

Ailin Deng,

Quoc-Nam Nguyen,

Khoa Duong,

Ngai-Man Cheung,

Bryan Hooi; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Cao_2026_CVPR, author = {Cao, Tri and Trinh, Minh-Huy and Deng, Ailin and Nguyen, Quoc-Nam and Duong, Khoa and Cheung, Ngai-Man and Hooi, Bryan}, title = {Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {7702-7712} }