公开(公告)号：US11875576B2

公开(公告)日：2024-01-16

申请号：US18340090

申请日：2023-06-23

申请人： QUANZHOU EQUIPMENT MANUFACTURING RESEARCH INSTITUTE

发明人： Jielong Guo ,  Xian Wei ,  Xuan Tang ,  Hui Yu ,  Jianfeng Zhang ,  Dongheng Shao ,  Xiaodi Yang ,  Yufang Xie

IPC分类号： G06V20/58 ,  G06V10/77 ,  G06V10/32 ,  G06V10/82 ,  G06V10/26 ,  G06V10/774 ,  G06V10/776 ,  G06V10/764

CPC分类号： G06V20/582 ,  G06V10/26 ,  G06V10/32 ,  G06V10/764 ,  G06V10/774 ,  G06V10/776 ,  G06V10/7715 ,  G06V10/82

摘要： Provided is a traffic sign recognition method based on a lightweight neural network, which including: a lightweight neural network model is constructed for training and pruning to obtain a lightweight neural network model; the lightweight neural network model comprises a convolution feature extraction part and a classifier part; the convolution feature extraction part includes one layer of conventional 3×3 convolution and 16 layers of separable asymmetric convolution. The classifier part includes three layers of separable full connection modules.