Exploring multi-food detection using deep learning-based algorithms
Author:
Affiliation:
1. Universidad Católica del Norte,Dept. of Computing and Systems Engineering,Antofagasta,Chile
Funder
Agencia Nacional de Investigación y Desarrollo de Chile (ANID)
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10179008/10178988/10179037.pdf?arnumber=10179037
Reference41 articles.
1. FoodCam-256
2. Exploring Better Food Detection via Transfer Learning
3. Semantic food segmentation for automatic dietary monitoring;aslan;2018 IEEE 8th International Conference on Consumer Electronics-Berlin (ICCE-Berlin),2018
4. An Improved YOLOv3 Model for Asian Food Image Recognition and Detection
5. Research on Food Recognition of Smart Refrigerator Based on SSD Target Detection Algorithm
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