Learning Cross-Attention Discriminators via Alternating Time–Space Transformers for Visual Tracking-Reference-Cited by-同舟云学术

Learning Cross-Attention Discriminators via Alternating Time–Space Transformers for Visual Tracking

Author:

Wang Wuwei¹^ORCID,Zhang Ke²,Su Yu²^ORCID,Wang Jingyu³^ORCID,Wang Qi⁴^ORCID

Affiliation:

1. School of Automation, Xi’an University of Posts and Telecommunications, Xi’an, China

2. School of Astronautics, Northwestern Polytechnical University, Xi’an, China

3. School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), School of Astronautics, Northwestern Polytechnical University, Xi’an, China

4. School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), Northwestern Polytechnical University, Xi’an, China

Funder

National Natural Science Foundation of China

Shaanxi Youth Talent Lifting Plan of Shaanxi Association for Science and Technology

Scientific Research Program Funded by the Shaanxi Provincial Education Department

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Visual tracking with screening region enrichment and target validation;International Journal of Machine Learning and Cybernetics;2024-09-08