Journal of Infrared and Millimeter Waves, Volume. 42, Issue 6, 916(2023)

An unsupervised few-shot infrared aerial object recognition network based on deep-shallow learning graph model

Yu-Ze LI1, Yan ZHANG1、*, Yu CHEN2, and Chun-Ling YANG1、**
Author Affiliations
  • 1School of Electrical Engineering and Automation,Harbin Institute of Technology,Harbin 150001,China
  • 2College of Electrical Engineering and Automation,Shandong University of Science and Technology,Qingdao 266590,China
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    Yu-Ze LI, Yan ZHANG, Yu CHEN, Chun-Ling YANG. An unsupervised few-shot infrared aerial object recognition network based on deep-shallow learning graph model[J]. Journal of Infrared and Millimeter Waves, 2023, 42(6): 916

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    Paper Information

    Category: Research Articles

    Received: Dec. 29, 2022

    Accepted: --

    Published Online: Dec. 26, 2023

    The Author Email: Yan ZHANG (zyhit@hit.edu.cn), Chun-Ling YANG (yangcl1@hit.edu.cn)

    DOI:10.11972/j.issn.1001-9014.2023.06.025

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