Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: A New Deep Learning-Based Food Recognition System for Dietary Assessment on An Edge Computing Service Infrastructure
DeepFood: Deep Learning-Based Food Image Recognition for Computer-Aided Dietary Assessment
Bilinear CNN Models for Food Recognition
A Framework to Estimate the Nutritional Value of Food in Real Time Using Deep Learning Techniques
Real-Time Mobile Food Recognition System
Personalized Classifier for Food Image Recognition
Food image recognition using deep convolutional network with pre-training and fine-tuning
Food image description based on deep-based joint food category, ingredient, and cooking method recognition
semantic segmentation of food images for automatic dietary monitoring .
A Novel SVM Based Food Recognition Method for Calorie Measurement Applications
When generalized eating detection machine learning models fail in the field
Multi-task learning of dish detection and calorie estimation
Image Recognition of 85 Food Categories by Feature Fusion
FooDD: Food Detection Dataset for Calorie Measurement Using Food Images
Food image recognition with deep convolutional features
A food image recognition system with Multiple Kernel Learning
Food Image Segmentation for Dietary Assessment
Grab, Pay, and Eat: Semantic Food Detection for Smart Restaurants
A Survey on Food Computing
A Food Recognition System for Diabetic Patients Based on an Optimized Bag-of-Features Model
Simultaneous food localization and recognition
The reliability and validity of a three-camera foot image system for obtaining foot anthropometrics.
The structure of images
Crust: A Bounded Verifier for Rust (N)
Context-Aware Neural Machine Translation Learns Anaphora Resolution
An Efficient End-to-End Neural Model for Handwritten Text Recognition