[HTML][HTML] Deep learning in food category recognition

Y Zhang, L Deng, H Zhu, W Wang, Z Ren, Q Zhou… - Information …, 2023 - Elsevier
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 …

A comprehensive survey of image-based food recognition and volume estimation methods for dietary assessment

GA Tahir, CK Loo - Healthcare, 2021 - mdpi.com
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 …

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 …

Deep-learning-assisted multi-dish food recognition application for dietary intake reporting

YC Liu, DD Onthoni, S Mohapatra, D Irianti, PK Sahoo - Electronics, 2022 - mdpi.com
Artificial intelligence (AI) is among the major emerging research areas and industrial
application fields. An important area of its application is in the preventive healthcare domain …

Deep learning approaches in food recognition

C Kiourt, G Pavlidis, S Markantonatou - Machine learning paradigms …, 2020 - Springer
Automatic image-based food recognition is a particularly challenging task. Traditional image
analysis approaches have achieved low classification accuracy in the past, whereas deep …

Mixed-dish recognition with contextual relation networks

L Deng, J Chen, Q Sun, X He, S Tang, Z Ming… - Proceedings of the 27th …, 2019 - dl.acm.org
Mixed dish is a food category that contains different dishes mixed in one plate, and is
popular in Eastern and Southeast Asia. Recognizing individual dishes in a mixed dish …

Simulating personal food consumption patterns using a modified markov chain

X Pan, J He, A Peng, F Zhu - … of the 7th International Workshop on …, 2022 - dl.acm.org
Food image classification serves as the foundation of image-based dietary assessment to
predict food categories. Since there are many different food classes in real life, conventional …

Mixed dish recognition with contextual relation and domain alignment

L Deng, J Chen, CW Ngo, Q Sun… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Mixed dish is a food category that contains different dishes mixed in one plate, and is
popular in Eastern and Southeast Asia. Recognizing the individual dishes in a mixed dish …

Recognition of Food Ingredients—Dataset Analysis

J Louro, F Fidalgo, Â Oliveira - Applied Sciences, 2024 - mdpi.com
Nowadays, food waste is seen as a complex problem with effects on the social, economic,
and environmental domains. Even though this view is widely held, it is frequently believed …

Recognition of multiple food items in a single photo for use in a buffet-style restaurant

M Anzawa, S Amano, Y Yamakata… - … on Information and …, 2019 - search.ieice.org
We investigate image recognition of multiple food items in a single photo, focusing on a
buffet restaurant application, where menu changes at every meal, and only a few images per …