no code implementations • 17 Jan 2024 • Jan Küchler, Daniel Kröll, Sebastian Schoenen, Andreas Witte
Deep neural network models for image segmentation can be a powerful tool for the automation of motor claims handling processes in the insurance industry.
no code implementations • 16 Aug 2023 • Julian Burghoff, Matthias Rottmann, Jill von Conta, Sebastian Schoenen, Andreas Witte, Hanno Gottschalk
In this work, we develop a neural architecture search algorithm, termed Resbuilder, that develops ResNet architectures from scratch that achieve high accuracy at moderate computational cost.
no code implementations • 13 Mar 2023 • Marius Schubert, Tobias Riedlinger, Karsten Kahl, Daniel Kröll, Sebastian Schoenen, Siniša Šegvić, Matthias Rottmann
In this work, we for the first time introduce a benchmark for label error detection methods on object detection datasets as well as a label error detection method and a number of baselines.