Active Learning for Deep Visual Tracking-Reference-Cited by-同舟云学术

Active Learning for Deep Visual Tracking

Published:2023 Issue: Volume: Page:1-13
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Yuan Di¹^ORCID,Chang Xiaojun²^ORCID,Liu Qiao³^ORCID,Yang Yi²^ORCID,Wang Dehua⁴,Shu Minglei⁵^ORCID,He Zhenyu⁴^ORCID,Shi Guangming⁶^ORCID

Affiliation:

1. Guangzhou Institute of Technology, Xidian University, Guangzhou, China

2. Faculty of Engineering and Information Technology, Australian Artificial Intelligence Institute, University of Technology Sydney, Sydney, NSW, Australia

3. National Center for Applied Mathematics, Chongqing Normal University, Chongqing, China

4. School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China

5. Shandong Artificial Intelligence Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China

6. School of Artificial Intelligence, Xidian University, Xi’an, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

China Postdoctoral Science Foundation

Natural Science Foundation of Chongqing

Science and Technology Research Program of Chongqing Municipal Education Commission

Foundation of National Center for Applied Mathematics in Chongqing

Foundation Project of Chongqing Normal University

National Key Research and Development Program of China

Shenzhen Research Council

Special Research Project on COVID-19 Prevention and Control of Guangdong Province

Science and Technology Projects in Guangzhou

Australian Research Council (ARC) Discovery Early Career Researcher Award

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/10122634.pdf?arnumber=10122634

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