no code implementations • 16 Nov 2023 • Stefan Becker, Jens Bayer, Ronny Hug, Wolfgang Hübner, Michael Arens
Data pooling offers various advantages, such as increasing the sample size, improving generalization, reducing sampling bias, and addressing data sparsity and quality, but it is not straightforward and may even be counterproductive.
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.