Journal of Infrared and Millimeter Waves, Volume. 44, Issue 1, 96(2025)

Infrared aircraft few-shot classification method based on cross-correlation network

Zhen HUANG1...2,3, Yong ZHANG1,3,*, and Jin-Fu GONG1,23 |Show fewer author(s)
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
  • show less
    References(35)

    [2] R M Chen, S J Liu, Z Miao et al. Infrared aircraft few-shot classification method based on meta learning. Journal of Infrared and Millimeter Waves, 40, 554-560(2021).

    [5] X Luo, H Wu, J Zhang et al. A closer look at few-shot classification again, 202, 23103-23123(2023).

    [8] R Hou, H Chang, B MA et al. Cross Attention Network for Few-shot Classification, 32(2019).

    [19] O Vinyals, C Blundell, T Lillicrap et al. Matching Networks for One Shot Learning, 29(2016).

    [22] S Ravi, H Larochelle. Optimization as a model for few-shot learning(2017).

    [24] R Hou, H Chang, B MA et al. Cross Attention Network for Few-shot Classification, 32(2019).

    [27] S Laenen, L Bertinetto. On Episodes, Prototypical Networks, and Few-Shot Learning, 34, 24581-24592(2021).

    [33] P Ramachandran, N Parmar, A Vaswani et al. Stand-Alone Self-Attention in Vision Models, 32(2019).

    Tools

    Get Citation

    Copy Citation Text

    Zhen HUANG, Yong ZHANG, Jin-Fu GONG. Infrared aircraft few-shot classification method based on cross-correlation network[J]. Journal of Infrared and Millimeter Waves, 2025, 44(1): 96

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Infrared Optoelectronic System and Application Technology

    Received: Mar. 29, 2024

    Accepted: --

    Published Online: Mar. 5, 2025

    The Author Email: ZHANG Yong (zybxy@sina.com)

    DOI:10.11972/j.issn.1001-9014.2025.01.013

    Topics