41 citations · 58 across the 7 of their papers we have counts for
3 papers · 1 filter
Radar Spectra-Language Model for Automotive Scene Parsing
Mariia Pushkareva, Yuri Feldman, Csaba Domokos +2
Radar sensors are low cost, long-range, and weather-resilient. Therefore, they are widely used for driver assistance functions, and are expected to be crucial for the success of au…
Histogram-based Deep Learning for Automotive Radar
Maxim Tatarchenko, Kilian Rambach
There are various automotive applications that rely on correctly interpreting point cloud data recorded with radar sensors. We present a deep learning approach for histogram-based…
DiagViB-6: A Diagnostic Benchmark Suite for Vision Models in the Presence of Shortcut and Generalization Opportunities
Elias Eulig, Piyapat Saranrittichai, Chaithanya Kumar Mummadi +4
Common deep neural networks (DNNs) for image classification have been shown to rely on shortcut opportunities (SO) in the form of predictive and easy-to-represent visual factors. T…