PointNorm: Normalization is All You Need for Point Cloud Analysis. (arXiv:2207.06324v1 [cs.CV])

Point cloud analysis is challenging due to the irregularity of the point
cloud data structure. Existing works typically employ the ad-hoc
sampling-grouping operation of PointNet++, followed by sophisticated local
and/or global feature extractors for leveraging the 3D geometry of the point
cloud. Unfortunately, those intricate hand-crafted model designs have led to
poor inference latency and performance saturation in the last few years. In
this paper, we point out that the classical sampling-grouping operations on the
irregular point cloud cause learning …

analysis arxiv cloud cv normalization