16 citations · 16 across the 2 of their papers we have counts for
2 papers
cs.CV2024
Towards Adversarial Robustness of Model-Level Mixture-of-Experts Architectures for Semantic Segmentation
Svetlana Pavlitska, Enrico Eisen, J. Marius Zöllner
Vulnerability to adversarial attacks is a well-known deficiency of deep neural networks. Larger networks are generally more robust, and ensembling is one method to increase adversa…
cs.CV2022★ 16 cited
Multimodal Detection of Unknown Objects on Roads for Autonomous Driving
Daniel Bogdoll, Enrico Eisen, Maximilian Nitsche +2
Tremendous progress in deep learning over the last years has led towards a future with autonomous vehicles on our roads. Nevertheless, the performance of their perception systems i…