Residual memory inference network for regression tracking with weighted gradient harmonized loss

Huanlong Zhang, Jiapeng Zhang, Guohao Nie, Jilin Hu*, W. J.(Chris) Zhang

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

Original languageEnglish
JournalInformation Sciences
Volume597
Pages (from-to)105-124
Number of pages20
ISSN0020-0255
DOIs
Publication statusPublished - Jun 2022

Bibliographical note

Funding Information:
This work was supported by the National Natural Science Foundation of China under Grant (61873246, 62072416, 62102373, 61806181, 62006213), Program for Science & Technology Innovation Talents in Universities of Henan Province, China (21HASTIT028), Natural Science Foundation of Henan Province, China (202300410495) and Zhongyuan Science and Technology Innovation Leadership Program, China (214200510026).

Funding Information:
Huanlong Zhang received the Ph.D. degree from the School of Aeronautics and Astronautics, Shanghai Jiao Tong University, China, in 2015. He is currently an Associate Professor with the College of Electric and Information Engineering, Zhengzhou University of Light Industry, Henan, Zhengzhou, China. His research has been funded by the National Natural Science Foundation of China (NSFC), the Key Science and Technology. Henan Province et al. He has published more than 40 technical articles in refereed journals and conference proceedings. His research interests include pattern recognition, machine learning, image processing, computer vision, and intelligent human-machine systems.

Publisher Copyright:
© 2022 Elsevier Inc.

Keywords

  • Long-short term memory
  • Residual network
  • Visual tracking

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