Atefeh Gilvari

Visual-Only and Vision–Language Industrial Anomaly Detection Under Benchmarks and Limited-Data Settings

Industrial anomaly detection remains challenging in manufacturing quality inspection because defects are often subtle, spatially sensitive, and costly to annotate. These constraints have motivated a recent shift from visual-only models toward vision–language approaches that can represent anomalies more flexibly. Howeve...