Measuring the Accuracy of Object Detectors and Trackers. - Tobias Böttger; Patrick Follmann; Michael Fauser (GCPR, 2017)

MVTec AD - A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection. - Paul Bergmann; Michael Fauser; David Sattlegger; Carsten Steger (CVPR, 2019)

Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders. - Paul Bergmann; Sindy Löwe; Michael Fauser; David Sattlegger; Carsten Steger (VISIGRAPP (5: VISAPP), 2019)

Uninformed Students: Student-Teacher Anomaly Detection With Discriminative Latent Embeddings. - Paul Bergmann; Michael Fauser; David Sattlegger; Carsten Steger (CVPR, 2020)

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)