What makes a good data augmentation for few-shot unsupervised image anomaly detection?

Lingrui Zhang, Shuheng Zhang, Guoyang Xie +5

Data augmentation is a promising technique for unsupervised anomaly detection in industrial applications, where the availability of positive samples is often limited due to factors…