Contrastive Embedding Distribution Refinement and Entropy-Aware Attention for 3D Point Cloud Classification. (arXiv:2201.11388v1 [cs.CV])

Web: http://arxiv.org/abs/2201.11388

Learning a powerful representation from point clouds is a fundamental and
challenging problem in the field of computer vision. Different from images
where RGB pixels are stored in the regular grid, for point clouds, the
underlying semantic and structural information of point clouds is the spatial
layout of the points. Moreover, the properties of challenging in-context and
background noise pose more challenges to point cloud analysis. One assumption
is that the poor performance of the classification model can be attributed …

3d arxiv attention classification cloud cv distribution embedding entropy