3 citations · 3 across the 3 of their papers we have counts for
3 papers
AWADA: Attention-Weighted Adversarial Domain Adaptation for Object Detection
Maximilian Menke, Thomas Wenzel, Andreas Schwung
Object detection networks have reached an impressive performance level, yet a lack of suitable data in specific applications often limits it in practice. Typically, additional data…
What Makes You Hold on to That Old Car? Joint Insights from Machine Learning and Multinomial Logit on Vehicle-level Transaction Decisions
Ling Jin, Alina Lazar, Caitlin Brown +9
What makes you hold on that old car? While the vast majority of the household vehicles are still powered by conventional internal combustion engines, the progress of adopting emerg…
Bosch Deep Learning Hardware Benchmark
Armin Runge, Thomas Wenzel, Dimitrios Bariamis +3
The widespread use of Deep Learning (DL) applications in science and industry has created a large demand for efficient inference systems. This has resulted in a rapid increase of a…