4 papers
Revisiting the Evaluation of Deep Neural Networks for Pedestrian Detection
Patrick Feifel, Benedikt Franke, Frank Bonarens +3
Reliable pedestrian detection represents a crucial step towards automated driving systems. However, the current performance benchmarks exhibit weaknesses. The currently applied met…
Binary Classification: Counterbalancing Class Imbalance by Applying Regression Models in Combination with One-Sided Label Shifts
Peter Bellmann, Heinke Hihn, Daniel A. Braun +1
In many real-world pattern recognition scenarios, such as in medical applications, the corresponding classification tasks can be of an imbalanced nature. In the current study, we f…
StrokeCoder: Path-Based Image Generation from Single Examples using Transformers
Sabine Wieluch, Friedhelm Schwenker
This paper demonstrates how a Transformer Neural Network can be used to learn a Generative Model from a single path-based example image. We further show how a data set can be gener…
A dataset of continuous affect annotations and physiological signals for emotion analysis
Karan Sharma, Claudio Castellini, Egon L. van den Broek +2
From a computational viewpoint, emotions continue to be intriguingly hard to understand. In research, direct, real-time inspection in realistic settings is not possible. Discrete,…