Laser & Optoelectronics Progress, Volume. 59, Issue 2, 0215004(2022)

Shoe Type Recognition Algorithm Based on Attention Mechanism

Jiajun Zhang, Yunqi Tang*, Zhixiong Yang, and Pengzhi Geng
Author Affiliations
  • School of Investigation, People's Public Security University of China, Beijing 100038, China
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    References(20)

    [1] Jin Y F, Bai Y P, Shi F et al. Application and optimization of national database of shoes’ patterns[J]. Forensic Science and Technology, 43, 511-513(2018).

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    [3] Jin Y F, Cui J, Shi F et al. Shoes’ information combined into video utilization for case solving[J]. Forensic Science and Technology, 44, 463-465(2019).

    [8] Yang M J, Tang Y Q, Jiang X J. Novel shoe type recognition method based on convolutional neural network[J]. Laser & Optoelectronics Progress, 56, 191505(2019).

    [9] Chen Q, Liu L, Fu X D et al. Fine-grained shoe image retrieval by part detection and semantic network[J]. Journal of Image and Graphics, 25, 1578-1590(2020).

    [11] Cui J J, Zhao X R, Li D X. An automatic shoeprint retrieval method using neural codes for commercial shoeprint scanners[M]. Yang J F, Hu Q H, Cheng M M, et al. Computer vision. CCCV(2017).

    [12] Zhang H, Wu J X. A survey on unsupervised image retrieval using deep features[J]. Journal of Computer Research and Development, 55, 1829-1842(2018).

    [16] Geng P Z, Yang Z X, Zhang J J et al. Pedestrian shoes detection algorithm based on SSD[J]. Laser & Optoelectronics Progress, 58, 0610009(2021).

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    Jiajun Zhang, Yunqi Tang, Zhixiong Yang, Pengzhi Geng. Shoe Type Recognition Algorithm Based on Attention Mechanism[J]. Laser & Optoelectronics Progress, 2022, 59(2): 0215004

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    Paper Information

    Category: Machine Vision

    Received: Jan. 12, 2021

    Accepted: Mar. 16, 2021

    Published Online: Dec. 29, 2021

    The Author Email: Tang Yunqi (tangyunqi@ppsuc.edu.cn)

    DOI:10.3788/LOP202259.0215004

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