1.6k citations · 14.7k across the 100 of their papers we have counts for
101 papers
Uncertainty estimates for semantic segmentation: providing enhanced reliability for automated motor claims handling
Jan Küchler, Daniel Kröll, Sebastian Schoenen +1
Deep neural network models for image segmentation can be a powerful tool for the automation of motor claims handling processes in the insurance industry. A crucial aspect is the re…
ResBuilder: Automated Learning of Depth with Residual Structures
Julian Burghoff, Matthias Rottmann, Jill von Conta +3
In this work, we develop a neural architecture search algorithm, termed Resbuilder, that develops ResNet architectures from scratch that achieve high accuracy at moderate computati…
Identifying Label Errors in Object Detection Datasets by Loss Inspection
Marius Schubert, Tobias Riedlinger, Karsten Kahl +4
Labeling datasets for supervised object detection is a dull and time-consuming task. Errors can be easily introduced during annotation and overlooked during review, yielding inaccu…
Design and Performance of the first IceAct Demonstrator at the South Pole
M. G. Aartsen, M. Ackermann, J. Adams +393
In this paper we describe the first results of a compact imaging air-Cherenkov telescope, IceAct, operating in coincidence with the IceCube Neutrino Observatory (IceCube) at the ge…
Multi-messenger observations of a flaring blazar coincident with high-energy neutrino IceCube-170922A
The IceCube, Fermi-LAT, MAGIC +13
Individual astrophysical sources previously detected in neutrinos are limited to the Sun and the supernova 1987A, whereas the origins of the diffuse flux of high-energy cosmic neut…
Search for neutrinos from decaying dark matter with IceCube
IceCube Collaboration, M. G. Aartsen, M. Ackermann +327
With the observation of high-energy astrophysical neutrinos by the IceCube Neutrino Observatory, interest has risen in models of PeV-mass decaying dark matter particles to explain…