no code implementations • 15 Aug 2023 • Marius Lippke, Maurice Quach, Sascha Braun, Daniel Köhler, Michael Ulrich, Bastian Bischoff, Wei Yap Tan
This paper investigates sparse convolutional object detection networks, which combine powerful grid-based detection with low compute resources.
no code implementations • 25 May 2023 • Daniel Köhler, Maurice Quach, Michael Ulrich, Frank Meinl, Bastian Bischoff, Holger Blume
The proposed multi-scale KPPillarsBEV architecture outperforms the baseline by 5. 37% and the previous state of the art by 2. 88% in Car AP4. 0 (average precision for a matching threshold of 4 meters) on the nuScenes validation set.
1 code implementation • 14 Feb 2017 • Jan Hendrik Metzen, Tim Genewein, Volker Fischer, Bastian Bischoff
In this work, we propose to augment deep neural networks with a small "detector" subnetwork which is trained on the binary classification task of distinguishing genuine data from data containing adversarial perturbations.