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Laser & Optoelectronics Progress, Volume. 57, Issue 18, 181025(2020)

Residual Network Feature Fusion Tracking Algorithm Based on Graph Salience Detection

Hui Jin1,2 and Xinyang Li1、*
Author Affiliations
  • 1Key Laboratory on Adaptive Optics, Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, Sichuan 610209, China
  • 2University of Chinese Academy of Sciences, Beijing 100049, China
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    Article index updated: Sep. 11, 2025

    The article is cited by 1 article(s) CLP online library. (Some content might be in Chinese.)
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    Hui Jin, Xinyang Li. Residual Network Feature Fusion Tracking Algorithm Based on Graph Salience Detection[J]. Laser & Optoelectronics Progress, 2020, 57(18): 181025

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    Paper Information

    Category: Image Processing

    Received: Feb. 5, 2020

    Accepted: Mar. 25, 2020

    Published Online: Sep. 2, 2020

    The Author Email: Xinyang Li (xyli@ioe.ac.cn)

    DOI:10.3788/LOP57.181025

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology