A comparative study of deep learning methods for food classification with images
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Published:2023-12
Issue:
Volume:1
Page:800-808
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ISSN:2949-8244
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Container-title:Food and Humanity
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language:en
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Short-container-title:Food and Humanity
Author:
Suddul GeerishORCID, Seguin Jean Fabrice Laurent
Reference50 articles.
1. Attokaren, D.J., Fernandes, I.G., Sriram, A., Murthy, Y.V. S., & Koolagudi, S.G., (2017) "Food classification from images using convolutional neural networks," TENCON 2017 - 2017 IEEE Region 10 Conference, Penang, Malaysia, 2017, pp. 2801–2806, doi: 10.1109/TENCON.2017.8228338. 2. Bengio, Y., Goodfellow, I. & Courville, A., 2017. Deep learning, Massachusetts: MIT Press. 3. Bossard, L., Guillaumin, M., Van Gool, L. (2014). Food-101 – mining discriminative components with random forests. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds) Computer vision – ECCV 2014. ECCV 2014. Lecture Notes in Computer Science, vol 8694. Springer, Cham. https://doi.org/10.1007/978–3-319–10599-4_29. 4. Ciocca, G., Paolo, N..,Raimondo, S., (2017). Learning CNN-based Features for Retrieval of Food Images. Battiato, Sebastiano and Farinella, Giovanni Maria and Leo, Marco and Gallo, Giovanni (Eds) New Trends in Image Analysis and Processing -- ICIAP 2017: ICIAP International Workshops, WBICV, SSPandBE, 3AS, RGBD, NIVAR, IWBAAS, and MADiMa 2017, Catania, Italy, September 11–15, 2017, Revised Selected Papers", Springer International Publishing, 426—434, 978–3-319–70742-6, doi="10.1007/978–3-319–70742-6_41. 5. Deng, J., Dong, W., Socher, R., Li, L.-J., Li, K., & Fei-Fei, L. (2009) ImageNet: A Large-Scale Hierarchical Image Database. IEEE Computer Vision and Pattern Recognition (CVPR).
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