Journal of Terahertz Science and Electronic Information Technology , Volume. 20, Issue 11, 1198(2022)

Hybrid visual tracking method based on similarity optimization

LI Changjiang*, XIAO Wenxian, and WANG Junge
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    References(9)

    [1] [1] WANG Qiang, ZHANG Mengdan, XING Junliang, et al. Do not lose the details: reinforced representation learning for high performance visual tracking[C]// Proceedings of 2018 International Joint Conferences on Artificial Intelligence. Stockholm,Swedish:International Joint Conferences on Artificial Intelligence, 2018:985-991.

    [2] [2] LI Bo, YAN Junjie, WU Wei, et al. High performance visual tracking with Siamese region proposal network[C]// Proceedings of 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Lake City,UT,USA:IEEE, 2018:8971-8980.

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    LI Changjiang, XIAO Wenxian, WANG Junge. Hybrid visual tracking method based on similarity optimization[J]. Journal of Terahertz Science and Electronic Information Technology , 2022, 20(11): 1198

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    Paper Information

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    Received: Aug. 14, 2020

    Accepted: --

    Published Online: Dec. 26, 2022

    The Author Email: Changjiang LI (lvecn91@163.com)

    DOI:10.11805/tkyda2020400

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