CVPR 2025 "unsupervised anomaly detection" Papers

4 papers found

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Correcting Deviations from Normality: A Reformulated Diffusion Model for Multi-Class Unsupervised Anomaly Detection

Farzad Beizaee, Gregory A. Lodygensky, Christian Desrosiers et al.

CVPR 2025posterarXiv:2503.19357
9
citations

Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection

Jia Guo, Shuai Lu, Weihang Zhang et al.

CVPR 2025posterarXiv:2405.14325
52
citations

Multi-Sensor Object Anomaly Detection: Unifying Appearance, Geometry, and Internal Properties

wenqiao Li, BoZhong Zheng, Xiaohao Xu et al.

CVPR 2025posterarXiv:2412.14592
20
citations

TailedCore: Few-Shot Sampling for Unsupervised Long-Tail Noisy Anomaly Detection

Yoon Gyo Jung, Jaewoo Park, Jaeho Yoon et al.

CVPR 2025posterarXiv:2504.02775
3
citations