MetaUAS shows that anomaly segmentation can be treated as change segmentation between a normal prompt and a query, and that synthetic object-change pairs alone can train a universal detector.
Beyond dents and scratches: Logical constraints in unsupervised anomaly detection and localization
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MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning
MetaUAS shows that anomaly segmentation can be treated as change segmentation between a normal prompt and a query, and that synthetic object-change pairs alone can train a universal detector.