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Food diary applications represent a tantalizing market.
Food recognition using statistics of pairwise local features
S. Yang, M. Chen, D. Pomerleau, and R. Sukthankar · 2010
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The Use of Mobile Devices in Aiding Dietary Assessment and Evaluation
F. Zhu, M. Bosch, I. Woo, S. Kim, C. J. Boushey, D. S. Ebert, and E. J. Delp · 2010
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DietCam: Automatic dietary assessment with mobile camera phones
F. Kong and J. Tan · 2012
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ImageNet Classification with Deep Convolutional Neural Networks
A. Krizhevsky, I. Sutskever, and G. Hinton · 2012
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Recognition of multiple-food images by detecting candidate regions
Y. Matsuda, H. Hoashi, and K. Yanai · 2012
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Some Improvements on Deep Convolutional Neural Network Based Image Classification
A. G. Howard · 2013
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Real-Time Mobile Food Recognition System
Y. Kawano and K. Yanai · 2013
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Image Classification with the Fisher Vector: Theory and Practice
J. Sanchez, F. Perronnin, T. Mensink, and J. Verbeek · 2013
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Food-101 – Mining Discriminative Components with Random Forests
L. Bossard, M. Guillaumin, and L. Van Gool · 2014
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A Benchmark Dataset to Study the Representation of Food Images
G. M. Farinella, D. Allegra, and F. Stanco · 2014
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Classifying Food Images Represented as Bag of Textons
G. M. Farinella, M. Moltisanti, and S. Battiato · 2014
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Automatic expansion of a food image dataset leveraging existing categories with domain adaptation
Y. Kawano and K. Yanai · 2014
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Food Image Recognition with Deep Convolutional Features
Y. Kawano and K. Yanai · 2014
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FoodCam-256: A Large-scale Real-time Mobile Food RecognitionSystem employing High-Dimensional Features and Compression of Classifier Weights
Y. Kawano and K. Yanai · 2014
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FoodCam: A real-time mobile food recognition system employing Fisher Vector
Y. Kawano and K. Yanai · 2014
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Pairwise Rotation Invariant Co-occurrence Local Binary Pattern
X. Qi, R. Xiao, C.-G. Li, Y. Qiao, J. Guo, and X. Tang · 2014
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OverFeat: Integrated Recognition , Localization and Detection using Convolutional Networks
P. Sermanet, D. Eigen, X. Zhang, M. Mathieu, R. Fergus, and Y. LeCun · 2014
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Leveraging Context to Support Automated Food Recognition in Restaurants
V. Bettadapura, E. Thomaz, A. Parnami, G. D. Abowd, and I. Essa · 2015
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Deep Residual Learning for Image Recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2015
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Obesity and overweight - fact sheet n. 311
W. H. Organization · 2015
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ImageNet Large Scale Visual Recognition Challenge
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, A. C. Berg, and L. Fei-Fei · 2015
Deep compression: Compressing deep neural network with pruning, trained quantization and huffman coding
S. Han, H. Mao, and W. J. Dally · 2016
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Food Image Recognition Using Very Deep Convolutional Networks
H. Hassannejad, G. Matrella, P. Ciampolini, I. De Munari, M. Mordonini, and S. Cagnoni · 2016
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Deep Residual Learning for Image Recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Identity Mappings in Deep Residual Networks
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data
L. A. Hendricks, S. Venugopalan, M. Rohrbach, R. Mooney, K. Saenko, and T. Darrell · 2016
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Natural Language Object Retrieval
R. Hu, H. Xu, M. Rohrbach, J. Feng, K. Saenko, and T. Darrell · 2016
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Very Deep Convolutional Networks for Large-Scale Image Recognition
K. Simonyan and A. Zisserman · 2015
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Highway Networks
R. K. Srivastava, K. Greff, and J. Schmidhuber · 2015
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Going deeper with convolutions
C. Szegedy, Wei Liu, Yangqing Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 2015
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Food image recognition using deep convolutional network with pre-training and fine-tuning
K. Yanai and Y. Kawano · 2015
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Instance-Level Segmentation with Deep Densely Connected MRFs
Z. Zhang, S. Fidler, and R. Urtasun · 2015
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Deep-based Ingredient Recognition for Cooking Recipe Retrieval
J. Chen and C.-W. Ngo · 2016
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Learning Visual Features from Large Weakly Supervised Data
A. Joulin, L. van der Maaten, A. Jabri, and N. Vasilache · 2016
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Deepfood: Deep learning-based food image recognition for computer-aided dietary assessment
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A supervised extreme learning committee for food recognition
N. Martinel, C. Piciarelli, and C. Micheloni · 2016
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Im2Calories : towards an automated mobile vision food diary
A. Myers, N. Johnston, V. Rathod, A. Korattikara, A. Gorban, N. Silberman, S. Guadarrama, G. Papandreou, J. Huang, and K. Murphy · 2016
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XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
M. Rastegari, V. Ordonez, J. Redmon, and A. Farhadi · 2016
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Grad-CAM: Why did you say that? Visual Explanations from Deep Networks via Gradient-based Localization
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Wide Residual Networks
S. Zagoruyko and N. Komodakis · 2016
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Y. Zhu, O. Groth, M. Bernstein, and L. Fei-Fei · 2016
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