3 papers
cs.CV2026
Out-of-Distribution Object Detection in Street Scenes via Synthetic Outlier Exposure and Transfer Learning
Sadia Ilyas, Annika Mütze, Klaus Friedrichs +2
Out-of-distribution (OOD) objects are often silently overlooked by object detectors, which produce no detection for them, leaving downstream modules with nothing to act on and no i…
cs.CV2021
Background-Foreground Segmentation for Interior Sensing in Automotive Industry
Claudia Drygala, Matthias Rottmann, Hanno Gottschalk +2
To ensure safety in automated driving, the correct perception of the situation inside the car is as important as its environment. Thus, seat occupancy detection and classification…
cs.CV2019
Fast and Reliable Architecture Selection for Convolutional Neural Networks
Lukas Hahn, Lutz Roese-Koerner, Klaus Friedrichs +1
The performance of a Convolutional Neural Network (CNN) depends on its hyperparameters, like the number of layers, kernel sizes, or the learning rate for example. Especially in sma…