Component-aware Unsupervised Logical Anomaly Generation for Industrial Anomaly Detection

Xuan Tong, Yang Chang, Qing Zhao +9

Anomaly detection is critical in industrial manufacturing for ensuring product quality and improving efficiency in automated processes. The scarcity of anomalous samples limits tra…