An Adaptive Hybrid Attention Based Convolutional Neural Net for Intelligent Transportation Object Recognition-Reference-Cited by-同舟云学术

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An Adaptive Hybrid Attention Based Convolutional Neural Net for Intelligent Transportation Object Recognition

Published:2022 Issue: Volume: Page:1-11
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Chen Qili¹^ORCID,Pan Guangyuan²^ORCID,Zhao Lin²,Fan Junfang³,Chen Wenbai¹^ORCID,Zhang Ancai²

Affiliation:

1. College of Automation, Beijing Information Science and Technology University, Beijing, China

2. School of Automation and Electrical Engineering, Linyi University, Linyi, China

3. Beijing Key Laboratory of High Dynamic Navigation Technology, Beijing Information Science and Technology University, Beijing, China

Funder

National Natural Science Foundation of China

Development Plan of Youth Innovation Team of University in Shandong Province

Natural Science Foundation Program of Shandong Province

Overseas Science and Technology Talents Program of Shandong Province

Taishan Scholar Program of Shandong Province China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/4358928/09994627.pdf?arnumber=9994627

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