Augmenting Visual Anomaly Detection with Automated Interpretability.

arXiv:2609.33818v1 Announce Type: cross Abstract: 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 whether automated interpretabilit