Voting combinations-based ensemble of fine-tuned convolutional neural networks for food image recognition
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-020-09486-1.pdf
Reference39 articles.
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3. Attokaren DJ, Fernandes IG, Sriram A, Murthy YS, Koolagudi SG (2017) Food classification from images using convolutional neural networks. In: TENCON 2017-2017 IEEE Region 10 conference IEEE, pp 2801–2806
4. Bossard L, Guillaumin M, Van Gool L (2014) Food-101–mining discriminative components with random forests. In: 2014 European conference on computer vision Springer Cham 8694, pp 446–461
5. Ciocca G, Napoletano P, Schettini R (2018) CNN-based features for retrieval and classification of food images. Comput Vision Image Understand 176:70–77
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