Semiconductor Optoelectronics, Volume. 44, Issue 1, 147(2023)

Image Target Detection System Based on Zynq Platform

WANG Lixiang1... LIN Shanling1,2,*, LIN Zhixian1,2,3, and GUO Tailiang23 |Show fewer author(s)
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  • 1[in Chinese]
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  • 3[in Chinese]
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    References(6)

    [1] [1] Krizhevsky A, Sutskever I, Hinton G E. Imagenet classification with deep convolutional neural networks[J]. Communications of the ACM, 2017, 60(6): 84-90.

    [2] [2] Gong L, Wang C, Li X, et al. MALOC: A fully pipelined FPGA accelerator for convolutional neural networks with all layers mapped on chip[J]. IEEE Trans. on Computer-Aided Design of Integrated Circuits and Systems, 2018, 37(11): 2601-2612.

    [3] [3] Martinez B, Valstar M F. Advances, challenges, and opportunities in automatic facial expression recognition[J]. Advances in Face Detection and Facial Image Analysis, 2016: 63-100.

    [4] [4] Venieris S I, Bouganis C S. fpgaConvNet: Mapping regular and irregular convolutional neural networks on FPGAs[J]. IEEE Trans. on Neural Networks and Learning Systems, 2018, 30(2): 326-342.

    [5] [5] Ding X, Zhang X, Ma N, et al. Repvgg: Making vgg-style convnets great again[C]// Proc. of the IEEE/CVF Conf. on Computer Vision and Pattern Recognition, 2021: 13733-13742.

    [6] [6] Lin T Y, Dollr P, Girshick R, et al. Feature pyramid networks for object detection[C]// Proc. of the IEEE Conf. on Computer Vision and Pattern Recognition, 2017: 2117-2125.

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    WANG Lixiang, LIN Shanling, LIN Zhixian, GUO Tailiang. Image Target Detection System Based on Zynq Platform[J]. Semiconductor Optoelectronics, 2023, 44(1): 147

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    Paper Information

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    Received: Nov. 16, 2022

    Accepted: --

    Published Online: Apr. 7, 2023

    The Author Email: Shanling LIN (sllin@fzu.edu.cn)

    DOI:10.16818/j.issn1001-5868.2022111601

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