12 citations · 51 across the 32 of their papers we have counts for
3 papers · 1 filter
Hinge-Wasserstein: Estimating Multimodal Aleatoric Uncertainty in Regression Tasks
Ziliang Xiong, Arvi Jonnarth, Abdelrahman Eldesokey +3
Computer vision systems that are deployed in safety-critical applications need to quantify their output uncertainty. We study regression from images to parameter values and here it…
Asymmetric Student-Teacher Networks for Industrial Anomaly Detection
Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn +1
Industrial defect detection is commonly addressed with anomaly detection (AD) methods where no or only incomplete data of potentially occurring defects is available. This work disc…
Structuring Autoencoders
Marco Rudolph, Bastian Wandt, Bodo Rosenhahn
In this paper we propose Structuring AutoEncoders (SAE). SAEs are neural networks which learn a low dimensional representation of data which are additionally enriched with a desire…