4 citations · 5 across the 3 of their papers we have counts for
2 papers
cs.CV2022
MGiaD: Multigrid in all dimensions. Efficiency and robustness by coarsening in resolution and channel dimensions
Antonia van Betteray, Matthias Rottmann, Karsten Kahl
Current state-of-the-art deep neural networks for image classification are made up of 10 - 100 million learnable weights and are therefore inherently prone to overfitting. The comp…
cs.LG2021★ 1 cited
Does Redundancy in AI Perception Systems Help to Test for Super-Human Automated Driving Performance?
Hanno Gottschalk, Matthias Rottmann, Maida Saltagic
While automated driving is often advertised with better-than-human driving performance, this work reviews that it is nearly impossible to provide direct statistical evidence on the…