A Closer Look at Local Aggregation Operators in Point Cloud Analysis

本文介绍一篇ECCV2020里面关于点云局部聚合操作的文章。
论文
代码

1. 问题

点云的局部聚合操作

2. 思想

【点云识别】A Closer Look at Local Aggregation Operators in Point Cloud Analysis (ECCV 2020)

不需要学习参数,简洁高效。

3. Overview of Local Aggregation Operators

General Formulation

【点云识别】A Closer Look at Local Aggregation Operators in Point Cloud Analysis (ECCV 2020)

3.1 Point-wise MLP based Methods

【点云识别】A Closer Look at Local Aggregation Operators in Point Cloud Analysis (ECCV 2020)

3.2 Pseudo Grid Feature based Methods

【点云识别】A Closer Look at Local Aggregation Operators in Point Cloud Analysis (ECCV 2020)

3.3 Adaptive Weight based Methods

【点云识别】A Closer Look at Local Aggregation Operators in Point Cloud Analysis (ECCV 2020)
【点云识别】A Closer Look at Local Aggregation Operators in Point Cloud Analysis (ECCV 2020)

4 Common Experimental Settings

4.1 Architecture

【点云识别】A Closer Look at Local Aggregation Operators in Point Cloud Analysis (ECCV 2020)

4.2 Point Sampling and Neighborhoods

【点云识别】A Closer Look at Local Aggregation Operators in Point Cloud Analysis (ECCV 2020)

5 PosPool: An Extremely Simple Local Aggregation Operator

【点云识别】A Closer Look at Local Aggregation Operators in Point Cloud Analysis (ECCV 2020)
【点云识别】A Closer Look at Local Aggregation Operators in Point Cloud Analysis (ECCV 2020)
【点云识别】A Closer Look at Local Aggregation Operators in Point Cloud Analysis (ECCV 2020)

总结

比较扎实的一篇文章,其影响力究竟有多大,只能让时间来证明了。

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