Chinese Journal of Liquid Crystals and Displays, Volume. 40, Issue 3, 516(2025)

Few-shot wildlife detection based on multi-scale context extraction

Ke LIU1,2, Shanling LIN1,2, Xinyu SHI1,2, Jianpu LIN1,2, Shanhong LÜ1,2, Zhixian LIN1,2、*, and Tailiang GUO2
Author Affiliations
  • 1School of Advanced Manufacturing, Fuzhou University,Quanzhou 362251, China
  • 2Fujian Science and Technology Innovation Laboratory for Photoelectric Information, Fuzhou 350116, China
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    References(27)

    [13] WANG X, HUANG T E, DARRELL T et al. Frustratingly simple few-shot object detection[C], 920(2020).

    [16] SHI Y Y, SHI D X, QIAO Z T et al. A survey on recent advances in few-shot object detection[J]. Chinese Journal of Computers, 46, 1753-1780(2023).

    [25] XIAO Y, LEPETIT V, MARLET R. Few-shot object detection and viewpoint estimation for objects in the wild[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45, 3090-3106(2023).

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    Ke LIU, Shanling LIN, Xinyu SHI, Jianpu LIN, Shanhong LÜ, Zhixian LIN, Tailiang GUO. Few-shot wildlife detection based on multi-scale context extraction[J]. Chinese Journal of Liquid Crystals and Displays, 2025, 40(3): 516

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    Paper Information

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    Received: Jun. 11, 2024

    Accepted: --

    Published Online: Apr. 27, 2025

    The Author Email: Zhixian LIN (lzx2005000@163.com)

    DOI:10.37188/CJLCD.2024-0168

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