Title
IndexSample: A Learnable Sampling Network in Point Cloud Classification
Abstract
Recently, growing attention has been paid in the process of point cloud with deep learning method. It is natural to process these data hierarchical as 2D convolutional neural network(CNN) suggests, which needs to downsample the point clouds. Classic sampling approaches, such as farthest point sampling (FPS), do not consider the downstream task. Recent works showed that learning a task-specific sam...
Year
Venue
Keywords
2021
2021 60th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)
Deep learning,Instruments,Sampling methods,Convolutional neural networks,Task analysis
DocType
ISBN
Citations 
Conference
978-4-9077-6473-9
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Zhenyu Wu13211.36
Kun Li232.75
Yuhu Wu352.10
Xin Zhang441.23
Shengming Li521.45