Journal of Infrared and Millimeter Waves, Volume. 40, Issue 4, 554(2021)

Infrared aircraft few-shot classification method based on meta learning

Rui-Min CHEN1,2,3, Shi-Jian LIU1,3、*, Zhuang MIAO1,2,3, and Fan-Ming LI1,3
Author Affiliations
  • 1Key Laboratory of Infrared System Detection and Imaging Technology, Chinese Academy of Sciences, Shanghai 200083, China
  • 2University of Chinese Academy of Sciences, Beijing 100049, China
  • 3Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China
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    References(18)

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    [4] Ratner A J, Ehrenberg H R, Hussain Z et al. Learning to compose domain-specific transformations for data augmentation[J]. Advances in Neural Information Processing Systems, 30, 3239-3249(2017).

    [9] Vinyals O, Blundell C, Lillicrap T et al. Matching networks for one shot learning[C], 3630-3638(2016).

    [10] Snell J, Swersky K, Zemel R S. Prototypical networks for few-shot learning[C], 4077-4087(2017).

    [11] Finn C, Abbeel P, Levine S. Model-agnostic meta-learning for fast adaptation of deep networks[C], 1126-1135(2017).

    [12] Ravi S, Arochellel H. Optimization as a model for few-shot learning[C](2017).

    [13] JIN Lu, LIU Shi-Jian, WANG Xiao et al. Infrared aircraft classification method with small samples based on improved relation network[J]. Acta Optica Sinica, 40, 0811005(2020).

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    Rui-Min CHEN, Shi-Jian LIU, Zhuang MIAO, Fan-Ming LI. Infrared aircraft few-shot classification method based on meta learning[J]. Journal of Infrared and Millimeter Waves, 2021, 40(4): 554

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    Paper Information

    Category: Research Articles

    Received: Jul. 28, 2020

    Accepted: --

    Published Online: Sep. 9, 2021

    The Author Email: Shi-Jian LIU (Shj_liu@ustc.edu)

    DOI:10.11972/j.issn.1001-9014.2021.04.015

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