most citedNatural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization

48 citations · 48 across the 1 of their papers we have counts for

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1 paper

cs.CV2021★ 48 cited

Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization

Hannah M. Schlüter, Jeremy Tan, Benjamin Hou +1

We introduce a simple and intuitive self-supervision task, Natural Synthetic Anomalies (NSA), for training an end-to-end model for anomaly detection and localization using only nor…