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Learning Local Structure Of Representative Points For Point Cloud Classification And Semantic Segmentation
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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 inform
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 inform
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