A New Large-scale Food Image Segmentation Dataset and Its Application to Food Calorie Estimation Based on Grains of Rice-Reference-Cited by-同舟云学术

A New Large-scale Food Image Segmentation Dataset and Its Application to Food Calorie Estimation Based on Grains of Rice

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 5th International Workshop on Multimedia Assisted Dietary Management - MADiMa '19
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Author:

Ege Takumi¹,Shimoda Wataru¹,Yanai Keiji¹

Affiliation:

1. The University of Electro-Communications, Chofu, Tokyo, Japan

Funder

JSPS KAKENHI

Publisher

ACM Press

Reference17 articles.

1. L. Bossard, M. Guillaumin, and L. Van Gool. 2014. Food-101 -- Mining Discriminative Components with Random Forests. In Proc. of European Conference on Computer Vision .

2. L-C. Chen, Y. Zhu, G. Papandreou, F. Schroff, and H. Adam. 2018. Encoder-decoder with atrous separable convolution for semantic image segmentation. In Proc. of European Conference on Computer Vision .

3. M. Chen, Y. Yang, C. Ho, S. Wang, E. Liu, E. Chang, C. Yeh, and M. Ouhyoung. 2012. Automatic Chinese Food Identification and Quantity Estimation. In Proc. of SIGGRAPH Asia Technical Briefs. 1--4.

4. G. Ciocca, P. Napoletano, and R. Schettini. 2017. Food recognition: a new dataset, experiments and results. IEEE Journal of Biomedical and Health Informatics , Vol. 21, 3 (2017), 588--598.

5. J. Dehais, M. Anthimopoulos, and S. Mougiakakou. 2016. Food Image Segmentation for Dietary Assessment. In Proc. of ACM MM Workshop on Multimedia Assisted Dietary Management .

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