Chinese Journal of Liquid Crystals and Displays, Volume. 38, Issue 2, 256(2023)

Single-objective tracking algorithm based on Siamese networks

Zong-cheng MIAO1,2、*, Shi-yan GAO1, Ze-min HE1, and Yuan OU3
Author Affiliations
  • 1Xi'an Key Laboratory of Advanced Photo-electronics Materials and Energy Conversion Device,Xijing University,Xi'an 710123,China
  • 2School of Artificial Intelligence,Optics and Electronics,Northwestern Polytechnical University,Xi'an 710072,China
  • 3Institute of System Engineering,Academy of Military Sciences,Beijing 100039,China
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    References(53)

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    [26] ZHANG C G, YANG H T, WANG J Y et al. Survey on visual single object tracking based on deep learning[J]. Application Research of Computers, 38, 2888-2895(2021).

    [35] KRIZHEVSKY A, SUTSKEVER I, HINTON G E. ImageNet classification with deep convolutional neural networks[C], 1097-1105(2012).

    [44] ANDREW G H, MENGLONG Z, BO C et al. MobileNets: efficient convolutional neural networks for mobile vision applications[C](2017).

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    Zong-cheng MIAO, Shi-yan GAO, Ze-min HE, Yuan OU. Single-objective tracking algorithm based on Siamese networks[J]. Chinese Journal of Liquid Crystals and Displays, 2023, 38(2): 256

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    Paper Information

    Category: Research Articles

    Received: Jun. 4, 2022

    Accepted: --

    Published Online: Feb. 20, 2023

    The Author Email: Zong-cheng MIAO (miaozongcheng@nwpu.edu.cn)

    DOI:10.37188/CJLCD.2022-0186

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