ShellNet:Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statics
1.文章总体概述 这篇文章是最近Iccv2019接收的一篇文章，主要做的工作是提出了一种可以用于直接处理3D空间中的点云数据的卷积算子ShellConv并基于此设计了一个ShellNet，可以用于分类以及点云的语义分割。与以往的PointNet系列类似的是，作者提出的结构也是直接输入原始的点云坐标信息(,为点的个数)。开篇作者简要介绍了一些相关的工作，分析了经典的PointNet系列存在的问题，比
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相关文章
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