SoftPatch: A Memory-Based Unsupervised Anomaly Detection AD Method that Efficiently Denoises the Data at the Patch Level

Anomaly detection (AD) is a crucial process in industrial applications, used to identify unexpected events in the input data. This process is often applied to analyze images and detect defects, but it is particularly challenging due to the complexity of the defects, which can be extremely tiny and hard to collect. Unsupervised AD is a […]

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