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Found 2 papers, 2 papers with code
Benchmarking Local Robustness of High-Accuracy Binary Neural Networks for Enhanced Traffic Sign Recognition
The results of the 4th International Verification of Neural Networks Competition (VNN-COMP'23) revealed the fact that 4, out of 7, solvers can handle many of our benchmarks randomly selected (minimum is 6, maximum is 36, out of 45).
Architecturing Binarized Neural Networks for Traffic Sign Recognition
Traffic signs support road safety and managing the flow of traffic, hence are an integral part of any vision system for autonomous driving.
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