no code implementations • IJCV 2022 • Paul Bergmann, Kilian Batzner, Michael Fauser, David Sattlegger, Carsten Steger
The first one inspects confined regions independent of their spatial locations in the input image and is primarily responsible for the detection of entirely new local structures.
Ranked #13 on Anomaly Detection on VisA
2 code implementations • 16 Dec 2021 • Paul Bergmann, Xin Jin, David Sattlegger, Carsten Steger
We introduce the first comprehensive 3D dataset for the task of unsupervised anomaly detection and localization.
3D Anomaly Detection and Segmentation Depth Anomaly Detection and Segmentation +4
3 code implementations • CVPR 2020 • Paul Bergmann, Michael Fauser, David Sattlegger, Carsten Steger
Our experiments demonstrate improvements over state-of-the-art methods on a number of real-world datasets, including the recently introduced MVTec Anomaly Detection dataset that was specifically designed to benchmark anomaly segmentation algorithms.
Ranked #11 on Anomaly Detection on VisA (Detection AUROC metric)
no code implementations • 9 Oct 2018 • Tomas Hodan, Rigas Kouskouridas, Tae-Kyun Kim, Federico Tombari, Kostas Bekris, Bertram Drost, Thibault Groueix, Krzysztof Walas, Vincent Lepetit, Ales Leonardis, Carsten Steger, Frank Michel, Caner Sahin, Carsten Rother, Jiri Matas
The workshop featured four invited talks, oral and poster presentations of accepted workshop papers, and an introduction of the BOP benchmark for 6D object pose estimation.
no code implementations • 5 Jul 2018 • Tobias Böttger, Markus Ulrich, Carsten Steger
We present a novel object tracking scheme that can track rigid objects in real time.
16 code implementations • 5 Jul 2018 • Paul Bergmann, Sindy Löwe, Michael Fauser, David Sattlegger, Carsten Steger
Convolutional autoencoders have emerged as popular methods for unsupervised defect segmentation on image data.