《PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation》点网解析
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation 图网络研究交流QQ群(832405795)欢迎您！ 点云是一种重要的几何数据结构类型。由于其不规则的格式，大多数研究人员将这些数据转换成规则的三维体素网格或图像集合。然而，这将导致不必要的数据量，并引发问题。本文设计了一种新的直接计算点云的神经网
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相关文章
- 1. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation解析(PointNet模型)
- 2. Deep Learning on Point Sets for 3D Classification and Segmentation
- 3. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
- 4. PointNet Deep Learning on Point Sets for 3D Classification and Segmentation
- 5. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation 论文笔记
- 6. 论文阅读：PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
- 7. 2020.09.27读 PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
- 8. 3D点云网络：PointNet:Deep Learning on Point Sets for 3D Classification and Segmentation
- 9. CVPR2017_PointNet_ Deep Learning on Point Sets for 3D Classification and Segmentation
- 10. [Point Cloud] PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation 论文解读