Frequency Feature Pyramid Network With Global-Local Consistency Loss for Crowd-and-Vehicle Counting in Congested Scenes-Reference-Cited by-同舟云学术

Frequency Feature Pyramid Network With Global-Local Consistency Loss for Crowd-and-Vehicle Counting in Congested Scenes

Published:2022-07 Issue:7 Volume:23 Page:9654-9664
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Yu Xiaoyuan¹^ORCID,Liang Yanyan¹^ORCID,Lin Xuxin¹^ORCID,Wan Jun²^ORCID,Wang Tian³^ORCID,Dai Hong-Ning⁴^ORCID

Affiliation:

1. Faculty of Innovation Engineering, School of Computer Science and Engineering, Macau University of Science and Technology, Macau, China

2. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China

3. Guangdong Key Laboratory of AI and Multi-Modal Data Processing, BNU-HKBU United International College, and the BNU-UIC Institute of Artificial Intelligence and Future Networks, Beijing Normal University (BNU Zhuhai), Zhuhai, Guangdong, China

4. Lingnan University, Hong Kong, China

Funder

National Key Research and Development Plan

External Cooperation Key Project of Chinese Academy Sciences

Chinese National Natural Science Foundation Project

Science and Technology Development Fund of Macau

Guangdong Provincial Key Research and Development Programme

National Natural Science Foundation of China

Special Project of Guangdong Provincial Department of Education in Key Fields of Colleges and Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/9826234/09793394.pdf?arnumber=9793394

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5. Interaction-Aware Spatio-Temporal Pyramid Attention Networks for Action Classification

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