The MVTec Anomaly Detection Dataset: A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection. - Paul Bergmann; Kilian Batzner; Michael Fauser; David Sattlegger; Carsten Steger (Int. J. Comput. Vis., 2021)

Beyond Dents and Scratches: Logical Constraints in Unsupervised Anomaly Detection and Localization. - Paul Bergmann; Kilian Batzner; Michael Fauser; David Sattlegger; Carsten Steger (Int. J. Comput. Vis., 2022)

EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies. - Kilian Batzner; Lars Heckler; Rebecca König (WACV, 2024)