Traffic Sign Detection
14 papers with code • 3 benchmarks • 5 datasets
Benchmarks
These leaderboards are used to track progress in Traffic Sign Detection
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CURE-TSR
Most implemented papers
Improved YOLOv5 network for real-time multi-scale traffic sign detection
NWPU-Li/AF_FPN
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Moreover, in practical application, it is difficult for common methods to improve the detection accuracy of multi-scale traffic signs while ensuring real-time detection.
GLARE: A Dataset for Traffic Sign Detection in Sun Glare
It provides an essential enrichment to the widely used LISA Traffic Sign dataset.
CCSPNet-Joint: Efficient Joint Training Method for Traffic Sign Detection Under Extreme Conditions
Traffic sign detection is an important research direction in intelligent driving.
Learning to Defer to a Population: A Meta-Learning Approach
The learning to defer (L2D) framework allows autonomous systems to be safe and robust by allocating difficult decisions to a human expert.
