Convolutional Neural Networks for Traffic Sign Recognition

A lightweight network for traffic sign recognition based on multi-scale feature and attention mechanism

“…However, the improved ResNet network has the problem of high computing cost. Zhonghua Wei proposed a method of multi-scale feature extraction based on CNN [ 27 ]. By introducing multiple branches between convolution layers, image information of different scales is processed.…”