AI RESEARCH
BAAF: Universal Transformation of One-Class Classifiers for Unsupervised Image Anomaly Detection
arXiv CS.CV
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ArXi:2602.13091v2 Announce Type: replace Detecting anomalies in images and video is an essential task for multiple real-world problems, including industrial inspection, computer-assisted diagnosis, and environmental monitoring. Anomaly detection is typically formulated as a one-class classification problem, where the