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State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University
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By reinterpreting unsupervised anomaly detection through the lens of Retrieval-Augmented Generation, RAID achieves state-of-the-art performance by using retrieved normal samples to guide noise suppression in anomaly map generation.
