Long and Short-Range Dependency Graph Structure Learning Framework on Point Cloud-Reference-Cited by-同舟云学术

Long and Short-Range Dependency Graph Structure Learning Framework on Point Cloud

Published:2023-12 Issue:12 Volume:45 Page:14975-14989
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Liang Jiye¹^ORCID,Du Zijin¹^ORCID,Liang Jianqing¹^ORCID,Yao Kaixuan¹^ORCID,Cao Feilong²^ORCID

Affiliation:

1. Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education, School of Computer and Information Technology, Shanxi University, Taiyuan, China

2. College of Sciences, China Jiliang University, Hangzhou, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

http://xplorestaging.ieee.org/ielx7/34/10308548/10193837.pdf?arnumber=10193837

Reference63 articles.

1. Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs

2. 3D point cloud classification and segmentation using 3D modified fisher vector representation for convolutional neural networks;ben-shabat,2017

3. Point convolutional neural networks by extension operators

4. SGDR: Stochastic gradient descent with warm restarts;loshchilov;Proc Int Conf Learn Represent,2017

5. DeepGCNs: Can GCNs Go As Deep As CNNs?

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