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Produce Once, Utilize Twice for Anomaly Detection
Equipped with the above modules, POUTA is endowed with the ability to provide a more precise anomaly location than the prior arts.
Ranked #16 on
Anomaly Detection
on MVTec AD
Exploring the Optimization Objective of One-Class Classification for Anomaly Detection
One-class classification (OCC) is a longstanding method for anomaly detection.
Towards Total Online Unsupervised Anomaly Detection and Localization in Industrial Vision
Although existing image anomaly detection methods yield impressive results, they are mostly an offline learning paradigm that requires excessive data pre-collection, limiting their adaptability in industrial scenarios with online streaming data.
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