PointRas: Uncertainty-Aware Multi-Resolution Learning for Point Cloud Segmentation
Author:
Affiliation:
1. Department of Automation, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Beijing Academy of Artificial Intelligence
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Graphics and Computer-Aided Design,Software
Link
http://xplorestaging.ieee.org/ielx7/83/9626658/09892683.pdf?arnumber=9892683
Reference74 articles.
1. SpiderCNN: Deep learning on point sets with parameterized convolutional filters;xu;Proc ECCV,2018
2. Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds
3. Self-Prediction for Joint Instance and Semantic Segmentation of Point Clouds
4. Learning and Memorizing Representative Prototypes for 3D Point Cloud Semantic and Instance Segmentation
5. Deeply-supervised nets;lee;Proc 18th Int Conf Artif Intell Statist,2015
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