Laser & Optoelectronics Progress, Volume. 58, Issue 6, 610019(2021)

Chinese Food Recognition Model Based on Improved Residual Network

Deng Zhiliang and Li Lei*
Author Affiliations
  • School of Automation, Nanjing University of Information Science & Technology, Nanjing, Jiangsu 210044, China
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    References(18)

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    [5] Martinel N, Foresti G L, Micheloni C. Wide-slice residual networks for food recognition. [C] // 2018 IEEE Winter Conference on Applications of Computer Vision, March 12-15, 2018, Lake Tahoe, NV, USA. New York: IEEE, 17751381(2018).

    [7] Ng Y S, Xue W Q, Wang W et al. Convolutional neural networks for food image recognition: an experimental study[C]. // Proceedings of the 5th International Workshop on Multimedia Assisted Dietary Management, October 15-21, 2019, Nice, France, 33-41(2019).

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    Deng Zhiliang, Li Lei. Chinese Food Recognition Model Based on Improved Residual Network[J]. Laser & Optoelectronics Progress, 2021, 58(6): 610019

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    Paper Information

    Category: Image Processing

    Received: Jul. 20, 2020

    Accepted: --

    Published Online: Mar. 11, 2021

    The Author Email: Lei Li (466743943@qq.com)

    DOI:10.3788/LOP202158.0610019

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