A Novel Biologically-inspired Structural Model for Feature Correspondence-Reference-Cited by-同舟云学术

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A Novel Biologically-inspired Structural Model for Feature Correspondence

Published:2022 Issue: Volume: Page:1-1
ISSN:2379-8920
Container-title:IEEE Transactions on Cognitive and Developmental Systems
language:
Short-container-title:IEEE Trans. Cogn. Dev. Syst.

Author:

Lu Yan-Feng¹^ORCID,Yang Xu¹^ORCID,Li Yi²,Yu Qian³,Liu Zhi-Yong¹^ORCID,Qiao Hong¹^ORCID

Affiliation:

1. Institute of Automation, National Key Laboratory of Multimodal Artificial Intelligence Systems, Chinese Academy of Science, Beijing, China

2. School of Information Engineering, Nanchang University, Nanchang, China

3. School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China

Funder

National Key Research and Development Plan of China

National Natural Science Foundation of China

Natural Science Foundation of Beijing Municipality

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Software

Link

http://xplorestaging.ieee.org/ielx7/7274989/7422051/09815091.pdf?arnumber=9815091

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