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

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

doi:10.1016/j.ins.2022.03.047

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 journal › Journal article › Research › peer-review

Original language	English
Journal	Information Sciences
Volume	597
Pages (from-to)	105-124
Number of pages	20
ISSN	0020-0255
DOIs	https://doi.org/10.1016/j.ins.2022.03.047
Publication status	Published - 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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10.1016/j.ins.2022.03.047

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@article{8512be19685c4937814e1d7fb7ea0d5e,

title = "Residual memory inference network for regression tracking with weighted gradient harmonized loss",

keywords = "Long-short term memory, Residual network, Visual tracking",

author = "Huanlong Zhang and Jiapeng Zhang and Guohao Nie and Jilin Hu and Zhang, {W. J.(Chris)}",

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: {\textcopyright} 2022 Elsevier Inc.",

year = "2022",

month = jun,

doi = "10.1016/j.ins.2022.03.047",

language = "English",

volume = "597",

pages = "105--124",

journal = "Information Sciences",

issn = "0020-0255",

publisher = "Elsevier",

}

TY - JOUR

T1 - Residual memory inference network for regression tracking with weighted gradient harmonized loss

AU - Zhang, Huanlong

AU - Zhang, Jiapeng

AU - Nie, Guohao

AU - Hu, Jilin

AU - Zhang, W. J.(Chris)

N1 - 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.

PY - 2022/6

Y1 - 2022/6

KW - Long-short term memory

KW - Residual network

KW - Visual tracking

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U2 - 10.1016/j.ins.2022.03.047

DO - 10.1016/j.ins.2022.03.047

M3 - Journal article

AN - SCOPUS:85126537045

VL - 597

SP - 105

EP - 124

JO - Information Sciences

JF - Information Sciences

SN - 0020-0255

ER -

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

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Keywords

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