916 citations · 1.6k across the 4 of their papers we have counts for
5 papers
Anomaly Detection in 3D Point Clouds using Deep Geometric Descriptors
Paul Bergmann, David Sattlegger
We present a new method for the unsupervised detection of geometric anomalies in high-resolution 3D point clouds. In particular, we propose an adaptation of the established student…
The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization
Paul Bergmann, Xin Jin, David Sattlegger +1
We introduce the first comprehensive 3D dataset for the task of unsupervised anomaly detection and localization. It is inspired by real-world visual inspection scenarios in which a…
Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings
Paul Bergmann, Michael Fauser, David Sattlegger +1
We introduce a powerful student-teacher framework for the challenging problem of unsupervised anomaly detection and pixel-precise anomaly segmentation in high-resolution images. St…
Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders
Paul Bergmann, Sindy Löwe, Michael Fauser +2
Convolutional autoencoders have emerged as popular methods for unsupervised defect segmentation on image data. Most commonly, this task is performed by thresholding a pixel-wise re…
Discretising the Herman--Kluk Propagator
Caroline Lasser, David Sattlegger
The Herman--Kluk propagator is a popular semi-classical approximation of the unitary evolution operator in quantum molecular dynamics. In this paper we formulate the Herman--Kluk p…