point conv
时间: 2023-08-02 20:06:14 浏览: 38
PointConv是一种用于点云数据的卷积操作。它的贡献在于通过插值和PointConv两个步骤来传播先前层的特征,并结合了点的空间结构信息和局部特征信息。\[1\]实验证明,PointConv在CIFAR-10数据集上具有与2D CNN相当的学习能力,并且可以达到与使用图像卷积的网络相似的准确率。\[2\]与其他方法不同,PointConv实现了点云的置换不变性,这是通过使用X-Conv来聚合点的空间结构信息和局部特征信息实现的。\[3\]
#### 引用[.reference_title]
- *1* [PointConv:三维点云卷积操作](https://blog.csdn.net/taifengzikai/article/details/90897467)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^koosearch_v1,239^v3^insert_chatgpt"}} ] [.reference_item]
- *2* [PointConv:基于3D点云的深度卷积网络](https://blog.csdn.net/Yong_Qi2015/article/details/103175381)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^koosearch_v1,239^v3^insert_chatgpt"}} ] [.reference_item]
- *3* [PointConv理解与解析](https://blog.csdn.net/weixin_42956785/article/details/91880225)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^koosearch_v1,239^v3^insert_chatgpt"}} ] [.reference_item]
[ .reference_list ]