Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions

30 Mar 2020Matheus GadelhaAruni RoyChowdhuryGopal SharmaEvangelos KalogerakisLiangliang CaoErik Learned-MillerRui WangSubhransu Maji

The problems of shape classification and part segmentation from 3D point clouds have garnered increasing attention in the last few years. But both of these problems suffer from relatively small training sets, creating the need for statistically efficient methods to learn 3D shape representations... (read more)

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