Chinese Journal of Liquid Crystals and Displays, Volume. 38, Issue 6, 798(2023)

High-precision turbulence wavefront reconstruction based on Transformer structure

Jia-hao FENG1,2, Qi-li HU3, Lü JIANG1,2, Yan-yan YANG1,2, Sheng-xiao HUA1,2, Jing-jing WU1,2, and Li-fa HU1,2、*
Author Affiliations
  • 1College of Science,Jiangnan University,Wuxi 214122,China
  • 2Jiangsu Provincial Research Center of Light Industry Optoelectronic Engineering and Technology,Wuxi 214122,China
  • 3Key Laboratory of Electro-Optical Countermeasure Test & Evaluation Technology,Luoyang 471003,China
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    References(29)

    [19] DOSOVITSKIY A, BEYER L, KOLESNIKOV A et al. An image is worth 16×16 words: transformers for image recognition at scale[C](2021).

    [20] CORDONNIER J B, LOUKAS A, JAGGI M. On the relationship between self-attention and convolutional layers[C](2020).

    [23] LI S D, CHEN X N, HE D et al. Can vision transformers perform convolution?[J/OL]. arXiv, 2111.01353(2021).

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    Jia-hao FENG, Qi-li HU, Lü JIANG, Yan-yan YANG, Sheng-xiao HUA, Jing-jing WU, Li-fa HU. High-precision turbulence wavefront reconstruction based on Transformer structure[J]. Chinese Journal of Liquid Crystals and Displays, 2023, 38(6): 798

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    Paper Information

    Category: Research Articles

    Received: Feb. 21, 2023

    Accepted: --

    Published Online: Jun. 29, 2023

    The Author Email: Li-fa HU (hulifa@jiangnan.edu.cn)

    DOI:10.37188/CJLCD.2023-0067

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