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 …
A review on vision-based analysis for automatic dietary assessment
Background: Maintaining a healthy diet is vital to avoid health-related issues, eg,
undernutrition, obesity and many non-communicable diseases. An indispensable part of the …
undernutrition, obesity and many non-communicable diseases. An indispensable part of 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 …
Revam** cross-modal recipe retrieval with hierarchical transformers and self-supervised learning
Cross-modal recipe retrieval has recently gained substantial attention due to the importance
of food in people's lives, as well as the availability of vast amounts of digital cooking recipes …
of food in people's lives, as well as the availability of vast amounts of digital cooking recipes …
Online continual learning for visual food classification
Food image classification is challenging for real-world applications since existing methods
require static datasets for training and are not capable of learning from sequentially …
require static datasets for training and are not capable of learning from sequentially …
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 …