FADE: Few-shot/zero-shot Anomaly Detection Engine using Large Vision-Language Model

Yuanwei Li, Elizaveta Ivanova, Martins Bruveris

Automatic image anomaly detection is important for quality inspection in the manufacturing industry. The usual unsupervised anomaly detection approach is to train a model for each…