Breaking the Bias: Recalibrating the Attention of Industrial Anomaly Detection

Xin Chen, Liujuan Cao, Shengchuan Zhang +2

Due to the scarcity and unpredictable nature of defect samples, industrial anomaly detection (IAD) predominantly employs unsupervised learning. However, all unsupervised IAD method…