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

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.