49 citations · 49 across the 2 of their papers we have counts for
2 papers
cs.CV2025
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…
cs.LG2021★ 49 cited
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety
Sebastian Houben, Stephanie Abrecht, Maram Akila +38
The use of deep neural networks (DNNs) in safety-critical applications like mobile health and autonomous driving is challenging due to numerous model-inherent shortcomings. These s…