Point cloud classification segmentation network based on point cloud multi-scale parallel feature extraction and attention mechanism

The invention discloses a point cloud classification segmentation network Paraller-Net based on point cloud parallel multi-scale feature extraction and an attention mechanism in order to solve the defects in the prior art, particularly relates to a point cloud classification segmentation network based on point cloud parallel multi-scale feature extraction and an attention mechanism, and aims to improve the accuracy. The method adopts a parallel multi-scale feature extraction and cross attention mechanism, and comprises the following steps: 1) inputting point cloud data, and carrying out feature learning; 2) performing feature extraction and sampling through a downsampling algorithm; 3) introducing a self-attention mechanism to calculate position correlation; 4) using cross attention to process a plurality of point cloud features after down-sampling; and 5) transmitting feature information by applying an up-sampling algorithm. According to the method, 3D point cloud features can be effectively extracted, and t