A survey on food computing
Food is essential for human life and it is fundamental to the human experience. Food-related
study may support multifarious applications and services, such as guiding human behavior …
study may support multifarious applications and services, such as guiding human behavior …
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 …
Learning cross-modal embeddings with adversarial networks for cooking recipes and food images
Food computing is playing an increasingly important role in human daily life, and has found
tremendous applications in guiding human behavior towards smart food consumption and …
tremendous applications in guiding human behavior towards smart food consumption and …
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 …
DeepFood: food image analysis and dietary assessment via deep model
L Jiang, B Qiu, X Liu, C Huang, K Lin - IEEE Access, 2020 - ieeexplore.ieee.org
Food is essential for human life and has been the concern of many healthcare conventions.
Nowadays new dietary assessment and nutrition analysis tools enable more opportunities to …
Nowadays new dietary assessment and nutrition analysis tools enable more opportunities to …
[HTML][HTML] 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) …
A framework to estimate the nutritional value of food in real time using deep learning techniques
There has been a rapid increase in dietary ailments during the last few decades, caused by
unhealthy food routine. Mobile-based dietary assessment systems that can record real-time …
unhealthy food routine. Mobile-based dietary assessment systems that can record real-time …
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 …
Vision-based food nutrition estimation via RGB-D fusion network
With the development of deep learning technology, vision-based food nutrition estimation is
gradually entering the public view for its advantage in accuracy and efficiency. In this paper …
gradually entering the public view for its advantage in accuracy and efficiency. In this paper …
Food image classification with improved MobileNet architecture and data augmentation
S Phiphiphatphaisit, O Surinta - … of the 3rd International Conference on …, 2020 - dl.acm.org
The real-world food image is a challenging problem for food image classification, because
food images can be captured from different perspective and patterns. Also, many objects can …
food images can be captured from different perspective and patterns. Also, many objects can …