SparseVoxNet: 3-D Object Recognition With Sparsely Aggregation of 3-D Dense Blocks-Reference-Cited by-同舟云学术

SparseVoxNet: 3-D Object Recognition With Sparsely Aggregation of 3-D Dense Blocks

Published:2022 Issue: Volume: Page:1-15
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Karambakhsh Ahmad¹^ORCID,Sheng Bin¹^ORCID,Li Ping²^ORCID,Li Huating³,Kim Jinman⁴^ORCID,Jung Younhyun⁵,Chen C. L. Philip⁶^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.

2. Department of Computing and the School of Design, The Hong Kong Polytechnic University, Hong Kong.

3. Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China.

4. Biomedical and Multimedia Information Technology Research Group, School of Computer Science, The University of Sydney, Sydney, NSW 2006, Australia.

5. School of Computing, Gachon University, Seongnam 13120, South Korea.

6. School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, China, and also with the Navigation College, Dalian Maritime University, Dalian 116026, China.

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Hong Kong Polytechnic University

Shanghai Municipal Science and Technology Major Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/09781810.pdf?arnumber=9781810

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