Yuefeng Wu

Learning Local Structure of Representative Points for Point Cloud Classification and Semantic Segmentation

Directly processing large point clouds is inefficient. State-of-the-art frameworks hierarchically employ Farthest Point Sampling (FPS) to down-sample the data for point cloud classification, semantic segmentation, etc. However, using only geometric information, FPS neglects the importance of semanti…