Learning reinforced attentional representation for end-to-end visual tracking-Reference-Cited by-同舟云学术

Learning reinforced attentional representation for end-to-end visual tracking

Published:2020-05 Issue: Volume:517 Page:52-67
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Gao Peng,Zhang Qiquan,Wang Fei,Xiao Liyi,Fujita Hamido^ORCID,Zhang Yan

Funder

National Natural Science Foundation of China

Science and Technology Planning Program

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

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4. A3ncf: An adaptive aspect attention model for rating prediction.;Cheng,2018

5. Attentional correlation filter network for adaptive visual tracking;Choi,2017

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