3D Shape Classification——Point-based Continuous Convolution Networks
點雲分類——連續卷積 RS CNN DensePoint PointConv 在連續空間中定義卷積核，相鄰點的權重與相對於中心點的空間分佈有關（權重由MLP學習得到）。即鄰域子集點的加權和。 代表1： Relation-shape CNN (RS CNN, CVPR2019)：RS CNN的核心操作是RS-Conv，它借鑑graph attention networks的思想，利用MLP學習鄰
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相關文章
- 1. 3D Shape Classification——Point-based Discrete Convolution Network
- 2. 3D Shape Classification——Point-based Graph based
- 3. 論文筆記《Active Convolution: Learning the Shape of Convolution for Image Classification》
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- 7. MVCNN:Multi-view Convolutional Neural Networks for 3D Shape Recognition
- 8. ICCV2015_Multi-view Convolutional Neural Networks for 3D Shape Recognition
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- 10. 3D Machine Learning Single Object Classification