Chinese Journal of Liquid Crystals and Displays, Volume. 38, Issue 12, 1707(2023)

Attention and cross-scale fusion for vehicle and pedestrian detection

Jian-dong LI1,2, Jia-qi LI1、*, and Hai-cheng QU1
Author Affiliations
  • 1College of Software,Liaoning Technical University,Huludao 125105,China
  • 2College of Mining,Liaoning Technical University,Fuxin 123000,China
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    References(40)

    [8] WANG H L, TIAN S H, ZHANG Z A et al. A improved Yolov4’s vehicle and pedestrian detection method[C], 1-7(2021).

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    [31] FU C Y, LIU W, RANGA A et al. DSSD: deconvolutional single shot detector[J/OL]. arXiv(2017).

    [38] JIANG J, ZHAI D H. Single-stage object detection algorithm based on dilated convolution and feature enhancement[J]. Computer Engineering, 47, 232-238, 248(2021).

    [39] YE Z Y, ZHENG J L. Object detection algorithm DFSSD based on automatic driving scene[J]. Computer Engineering and Applications, 56, 139-147(2020).

    [40] DAI J F, LI Y, HE K M et al. R-FCN: object detection via region-based fully convolutional networks[C], 379-387(2016).

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    Jian-dong LI, Jia-qi LI, Hai-cheng QU. Attention and cross-scale fusion for vehicle and pedestrian detection[J]. Chinese Journal of Liquid Crystals and Displays, 2023, 38(12): 1707

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    Paper Information

    Category: Research Articles

    Received: Feb. 6, 2023

    Accepted: --

    Published Online: Mar. 7, 2024

    The Author Email: Jia-qi LI (dor_emma@163.com)

    DOI:10.37188/CJLCD.2023-0037

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