Image-based food classification and volume estimation for dietary assessment: A review
A daily dietary assessment method named 24-hour dietary recall has commonly been used
in nutritional epidemiology studies to capture detailed information of the food eaten by the …
in nutritional epidemiology studies to capture detailed information of the food eaten by the …
[HTML][HTML] Deep learning in food category recognition
Integrating artificial intelligence with food category recognition has been a field of interest for
research for the past few decades. It is potentially one of the next steps in revolutionizing …
research for the past few decades. It is potentially one of the next steps in revolutionizing …
Large scale visual food recognition
Food recognition plays an important role in food choice and intake, which is essential to the
health and well‐being of humans. It is thus of importance to the computer vision community …
health and well‐being of humans. It is thus of importance to the computer vision community …
Isia food-500: A dataset for large-scale food recognition via stacked global-local attention network
Food recognition has received more and more attention in the multimedia community for its
various real-world applications, such as diet management and self-service restaurants. A …
various real-world applications, such as diet management and self-service restaurants. A …
A large-scale benchmark for food image segmentation
Food image segmentation is a critical and indispensible task for developing health-related
applications such as estimating food calories and nutrients. Existing food image …
applications such as estimating food calories and nutrients. Existing food image …
Food and ingredient joint learning for fine-grained recognition
Fine-grained food recognition is the detailed classification that provides more specialized
and professional attribute information of food. It is the basic work to realize healthy diet …
and professional attribute information of food. It is the basic work to realize healthy diet …
Long-tailed continual learning for visual food recognition
Deep learning based food recognition has achieved remarkable progress in predicting food
types given an eating occasion image. However, there are two major obstacles that hinder …
types given an eating occasion image. However, there are two major obstacles that hinder …
Ingredient-guided region discovery and relationship modeling for food category-ingredient prediction
Recognizing the category and its ingredient composition from food images facilitates
automatic nutrition estimation, which is crucial to various health relevant applications, such …
automatic nutrition estimation, which is crucial to various health relevant applications, such …
[HTML][HTML] Smartphone-based food recognition system using multiple deep CNN models
People with blindness or low vision utilize mobile assistive tools for various applications
such as object recognition, text recognition, etc. Most of the available applications are …
such as object recognition, text recognition, etc. Most of the available applications are …
Towards practical robotic chef: Review of relevant work and future challenges
G Sochacki, X Zhang, A Abdulali… - Journal of Field …, 2024 - Wiley Online Library
Robotic chefs are a promising technology that can improve the availability of quality food by
reducing the time required for cooking, therefore decreasing food's overall cost. This paper …
reducing the time required for cooking, therefore decreasing food's overall cost. This paper …