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

no code implementations • 6 Apr 2023 • Lingrui Zhang, Shuheng Zhang, Guoyang Xie, Jiaqi Liu, Hua Yan, Jinbao Wang, Feng Zheng, Yaochu Jin

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 such as commercial competition and sample collection difficulties.

Data Augmentation Unsupervised Anomaly Detection