Augmenting Visual Anomaly Detection with Automated Interpretability

Antonio De Santis, Arsenio Leo, Marco Brambilla

Visual anomaly detectors identify deviations from known-normal data, but their anomaly signals may mix evidence of actual anomalies with benign visual variation. We investigate whe…