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Lightweight traffic sign detection algorithm

Zhang He  
[Abstract]: Aiming at the current situation that the existing general detection algorithms are difficult to deploy effectively in the mobile terminal, a lightweight traffic sign detection algorithm based on yolov3 algorithm is proposed, which considers both speed and accuracy. Firstly, the original backbone network is replaced by mobilenetv2 to reduce the parameters of the model; Secondly, more abundant feature information of small-scale target is extracted by using 4-fold lower sampling layer with higher resolution to provide detection accuracy of small-scale target; Finally, the convergence of Diou loss function optimization model is introduced. The improved algorithm achieves 97.2% map on cctsdb dataset, which is 3.2% higher than yolov3, and the model size is reduced by 94.4%.
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