Michael Fauser

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 9

Top Topics

Fully Unsupervised

Anomaly Detection

Student Teachers

Structural Similarity

Top Venues

Int. J. Comput. Vis.

VISIGRAPP (5: VISAPP)

Publications

Paul Bergmann, Kilian Batzner, Michael Fauser, David Sattlegger, Carsten Steger
Beyond Dents and Scratches: Logical Constraints in Unsupervised Anomaly Detection and Localization. Int. J. Comput. Vis. 130 (4) (2022)
Paul Bergmann, Kilian Batzner, Michael Fauser, David Sattlegger, Carsten Steger
The MVTec Anomaly Detection Dataset: A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection. Int. J. Comput. Vis. 129 (4) (2021)
Paul Bergmann, Michael Fauser, David Sattlegger, Carsten Steger
Uninformed Students: Student-Teacher Anomaly Detection With Discriminative Latent Embeddings. CVPR (2020)
Paul Bergmann, Sindy Löwe, Michael Fauser, David Sattlegger, Carsten Steger
Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders. VISIGRAPP (5: VISAPP) (2019)
Paul Bergmann, Michael Fauser, David Sattlegger, Carsten Steger
Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings. CoRR (2019)
Paul Bergmann, Michael Fauser, David Sattlegger, Carsten Steger
MVTec AD - A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection. CVPR (2019)
Paul Bergmann, Sindy Löwe, Michael Fauser, David Sattlegger, Carsten Steger
Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders. CoRR (2018)
Tobias Böttger, Patrick Follmann, Michael Fauser
Measuring the Accuracy of Object Detectors and Trackers. GCPR (2017)
Tobias Böttger, Patrick Follmann, Michael Fauser
Measuring the Accuracy of Object Detectors and Trackers. CoRR (2017)