3D Shape Classification——Point-based Continuous Convolution Networks
点云分类——连续卷积 RS CNN DensePoint PointConv 在连续空间中定义卷积核，相邻点的权重与相对于中心点的空间分布有关（权重由MLP学习得到）。即邻域子集点的加权和。 代表1： Relation-shape CNN (RS CNN, CVPR2019)：RS CNN的核心操作是RS-Conv，它借鉴graph attention networks的思想，利用MLP学习邻
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相关文章
- 1. 3D Shape Classification——Point-based Discrete Convolution Network
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