Jeremy Tan

Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization

"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 normal training data. NSA integrates Poisson image editing to seamlessly blend scaled patches of various sizes from separa…