Chinese Journal of Liquid Crystals and Displays, Volume. 39, Issue 6, 813(2024)

Similar target replacement for remote sensing object detection data augmentation

Deyao SUN1,2, Ming ZHU1,2、*, and Jiarong WANG1
Author Affiliations
  • 1Changchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of Sciences,Changchun 130033,China
  • 2University of Chinese Academy of Sciences,Beijing 100049,China
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    [1] STEARNS C C, KANNAPPAN K. Method for 2-D affine transformation of images[P].

    [2] KRIZHEVSKY A, SUTSKEVER I, HINTON G E. ImageNet classification with deep convolutional neural networks[C], 1106-1114(2012).

    [3] HOWARD A G. Some improvements on deep convolutional neural network based image classification[C](2014).

    [6] WU R, YAN S G, SHAN Y et al. Deep image: scaling up image recognition[J/OL](2015).

    [7] GE Z, LIU S T, WANG F et al. YOLOX: exceeding yolo series in 2021[J/OL](2021).

    [10] ZHANG H Y, CISSE M, DAUPHIN Y N et al. Mixup: beyond empirical risk minimization[C](2018).

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    Deyao SUN, Ming ZHU, Jiarong WANG. Similar target replacement for remote sensing object detection data augmentation[J]. Chinese Journal of Liquid Crystals and Displays, 2024, 39(6): 813

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    Paper Information

    Category: Research Articles

    Received: May. 26, 2023

    Accepted: --

    Published Online: Jul. 30, 2024

    The Author Email: Ming ZHU (zhu_mingca@163.com)

    DOI:10.37188/CJLCD.2023-0195

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