Robust Anomaly Detection under Data Contamination for Pixel-Level Defective Region Segmentation
Industrial image-based anomaly detection plays a significant role in quality control, where pixel-level defective region segmentation is an important task to locate anomalies for various applications. Due to the data-abundance and label-scarcity nature of industrial products, the unsupervised learning approach has attr...