Deep neural network for food image classification and nutrient identification: A systematic review
R Kaur, R Kumar, M Gupta - Reviews in Endocrine and Metabolic …, 2023 - Springer
Technology impacts human life in both the aspects such as positive and negative, which
helps in better communication and eliminating geographical boundaries. However, social …
helps in better communication and eliminating geographical boundaries. However, social …
[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 …
Imagenet-21k pretraining for the masses
ImageNet-1K serves as the primary dataset for pretraining deep learning models for
computer vision tasks. ImageNet-21K dataset, which is bigger and more diverse, is used …
computer vision tasks. ImageNet-21K dataset, which is bigger and more diverse, is used …
A comprehensive survey of image-based food recognition and volume estimation methods for dietary assessment
Dietary studies showed that dietary problems such as obesity are associated with other
chronic diseases, including hypertension, irregular blood sugar levels, and increased risk of …
chronic diseases, including hypertension, irregular blood sugar levels, and increased risk of …
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 …
goFOODTM: An Artificial Intelligence System for Dietary Assessment
Y Lu, T Stathopoulou, MF Vasiloglou, LF Pinault… - Sensors, 2020 - mdpi.com
Accurate estimation of nutritional information may lead to healthier diets and better clinical
outcomes. We propose a dietary assessment system based on artificial intelligence (AI) …
outcomes. We propose a dietary assessment system based on artificial intelligence (AI) …
Learning program representations for food images and cooking recipes
DP Papadopoulos, E Mora… - Proceedings of the …, 2022 - openaccess.thecvf.com
In this paper, we are interested in modeling a how-to instructional procedure, such as a
cooking recipe, with a meaningful and rich high-level representation. Specifically, we …
cooking recipe, with a meaningful and rich high-level representation. Specifically, we …
A review of image-based food recognition and volume estimation artificial intelligence systems
FS Konstantakopoulos, EI Georga… - IEEE Reviews in …, 2023 - ieeexplore.ieee.org
The daily healthy diet and balanced intake of essential nutrients play an important role in
modern lifestyle. The estimation of a meal's nutrient content is an integral component of …
modern lifestyle. The estimation of a meal's nutrient content is an integral component of …