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Food classification is a challenging problem due to the large number of categories, high visual similarity between different foods, as well as the lack of datasets for training state-of-the-art deep models.
Wordnet: a lexical database for english
George A Miller · 1995
Earlier work this paper cites.
Annotating images by mining image search results
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Natural language processing with Python: analyzing text with the natural language toolkit
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A food image recognition system with multiple kernel learning
Taichi Joutou and Keiji Yanai · 2009
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Recognition and volume estimation of food intake using a mobile device
Manika Puri, Zhiwei Zhu, Qian Yu, Ajay Divakaran, and Harpreet Sawhney · 2009
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Image recognition of 85 food categories by feature fusion
Hajime Hoashi, Taichi Joutou, and Keiji Yanai · 2010
Earlier work this paper cites.
Automatic chinese food identification and quantity estimation
Mei-Yun Chen, Yung-Hsiang Yang, Chia-Ju Ho, Shih-Han Wang, Shane-Ming Liu, Eugene Chang, Che-Hua Yeh, and Ming Ouhyoung · 2012
Earlier work this paper cites.
Ilsvrc-2012, 2012
J Deng, A Berg, S Satheesh, H Su, A Khosla, and L Fei-Fei · 2012
Earlier work this paper cites.
Segmentation and recognition of multi-food meal images for carbohydrate counting
Marios Anthimopoulos, Joachim Dehais, Peter Diem, and Stavroula Mougiakakou · 2013
Earlier work this paper cites.
Food-101–mining discriminative components with random forests
Lukas Bossard, Matthieu Guillaumin, and Luc Van Gool · 2014
Earlier work this paper cites.
Automatic expansion of a food image dataset leveraging existing categories with domain adaptation
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Adam: A method for stochastic optimization
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https://www.fitbit.com/app
Fitbit app · 2017
Later among the works it cites.
https://play.google.com/store/apps/details?id=com.dietcoacher.sos
My diet coach · 2017
Later among the works it cites.
https://www.myfitnesspal.com
Myfitnesspal · 2017
Later among the works it cites.
Chinesefoodnet: A large-scale image dataset for chinese food recognition
Xin Chen, Yu Zhu, Hua Zhou, Liang Diao, and Dongyan Wang · 2017
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