no code implementations • 19 Jun 2023 • Jens Bayer, Stefan Becker, David Münch, Michael Arens
The patches of these so-called evasion attacks are computational expensive to produce and require full access to the attacked detector.
no code implementations • 26 Aug 2021 • Jens Bayer, David Münch, Michael Arens
The dataset used in this work is the Multispectral Object Detection Dataset, where each scene is available in the FIR, MIR and NIR as well as visual spectrum.
no code implementations • 3 Mar 2020 • Jens Bayer, David Münch, Michael Arens
Therefore, it is necessary for such a learning-based system in a real world environment, to be aware of its own capabilities and limits and to be able to distinguish between confident and unconfident results of the inference, especially if the sample cannot be explained by the underlying distribution.
no code implementations • 27 Nov 2019 • Vanessa Buhrmester, David Münch, Michael Arens
Deep Learning is a state-of-the-art technique to make inference on extensive or complex data.
no code implementations • 11 Mar 2019 • Patrick Schlosser, David Münch, Michael Arens
In this paper, several variants of two-stream architectures for temporal action proposal generation in long, untrimmed videos are presented.