Long-Tailed Anomaly Detection with Learnable Class Names

Chih-Hui Ho, Kuan-Chuan Peng, Nuno Vasconcelos

Anomaly detection (AD) aims to identify defective images and localize their defects (if any). Ideally, AD models should be able to detect defects over many image classes; without r…