A lightweight semantic segmentation algorithm integrating CA and ECA-Net modules  

作　　者：GUO Zhihao MA Dongmei LUO Xiaoyun 

机构地区：[1]School of Physics and Electronic Engineering,Northwest Normal University,Lanzhou 730070,China

出　　处：《Optoelectronics Letters》2024年第9期568-576,共9页光电子快报（英文版）

基　　金：supported by the National Natural Science Foundation of China(No.61961037)。

摘　　要：Aiming at the existing semantic segmentation process due to the loss of pixel features and the complexity of calculating too many parameters,which leads to unsatisfactory segmentation results and too long time,this paper proposes a lightweight semantic segmentation algorithm based on the fusion of multiple modules.The algorithm is based on the pyramid scene parsing network(PSPNet).Firstly,Mobile Net V2 network is chosen as the feature extraction network to construct the lightweight network structure.

关 键 词：NET network algorithm 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TP18[自动化与计算机技术—计算机科学与技术]