A CLAIM Approach to Understanding the PointNet-Reference-Cited by-同舟云学术

A CLAIM Approach to Understanding the PointNet

Published:2019-12-20 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 2nd International Conference on Algorithms, Computing and Artificial Intelligence
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Author:

Huang Shikun¹,Zhang Binbin¹,Shen Wen¹,Wei Zhihua²

Affiliation:

1. Department of Computer Science and Technology, Tongji University, Shanghai, China

2. Department of Computer Science, and Technology, Tongji University, Shanghai, China

Funder

National Key Research and Development Project

the Special Project of the Ministry of Public Security

the Key Lab of Information Network Security, Ministry of Public Security

the National Nature Science Foundation of China

Publisher

ACM

Reference28 articles.

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2. Advances in Neural Information Processing Systems Advances in Neural Information Processing Systems C. R. Qi L. Yi H. Su L. J. Guibas Pointnet++: Deep hierarchical feature learning on point sets in a metric space 2017 5099 5108

3. Jiang M. Wu Y. Lu C.: Pointsift: A sift-like network module for 3d point cloud semantic segmentation arXiv preprint arXiv:1807.00652 (2018) Jiang M. Wu Y. Lu C.: Pointsift: A sift-like network module for 3d point cloud semantic segmentation arXiv preprint arXiv:1807.00652 (2018)

4. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition W. Wang R. Yu Q. Huang U. Neumann Sgpn: Similarity group proposal network for 3d point cloud instance segmentation 2018 2569 2578

5. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition L. Yu X. Li C. W. Fu D. Cohen-Or P. A. Heng Pu-net: Point cloud upsampling network 2018 2790 2799

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