Food Detection and Recognition Using Convolutional Neural Network
Author:
Affiliation:
1. The University of Tokyo, Tokyo, Japan
2. foo.log Inc., Tokyo, Japan
Funder
Japan Society for the Promotion of Science
Core Research for Evolutional Science and Technology, Japan Science and Technology Agency
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2647868.2654970
Reference12 articles.
1. Comparative Study of the Routine Daily Usability of FoodLog
2. Food Balance Estimation by Using Personal Dietary Tendencies in a Multimedia Food Log
3. Combining global and local features for food identification in dietary assessment
4. Image Recognition of 85 Food Categories by Feature Fusion
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