FUN-AD trains an anomaly detector without any labels by using nearest-neighbor distances in a self-refining memory bank to pseudo-label normal and anomalous patches.
MVTec AD — A Comprehensive Real- World Dataset for Unsupervised Anomaly Detection
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FUN-AD: Fully Unsupervised Learning for Anomaly Detection with Noisy Training Data
FUN-AD trains an anomaly detector without any labels by using nearest-neighbor distances in a self-refining memory bank to pseudo-label normal and anomalous patches.