Efficient extraction of deep image features using convolutional neural network (CNN) for applications in detecting and analysing complex food matrices
Background The development of techniques and methods for rapidly and reliably detecting
and analysing food quality and safety products is of significance for the food industry …
and analysing food quality and safety products is of significance for the food industry …
[HTML][HTML] 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 …
The deep features and attention mechanism-based method to dish healthcare under social IoT systems: An empirical study with a hand-deep local–global net
H Gao, K Xu, M Cao, J Xiao, Q Xu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Many mobile apps of social Internet of Things (sIOT) systems can help us record and share
daily events, such as health and sport events. In fact, healthy diet recognition is an important …
daily events, such as health and sport events. In fact, healthy diet recognition is an important …
Study for food recognition system using deep learning
NOM Salim, SRM Zeebaree… - Journal of Physics …, 2021 - iopscience.iop.org
Accurate dietary appraisal has been found by literature to be very significant in the
evaluation of weight loss treatments. Most current methods of dietary evaluation, however …
evaluation of weight loss treatments. Most current methods of dietary evaluation, however …
[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 …
Attend and guide (ag-net): A keypoints-driven attention-based deep network for image recognition
This article presents a novel keypoints-based attention mechanism for visual recognition in
still images. Deep Convolutional Neural Networks (CNNs) for recognizing images with …
still images. Deep Convolutional Neural Networks (CNNs) for recognizing images with …
Explainable deep learning ensemble for food image analysis on edge devices
Food recognition systems recently garnered much research attention in the relevant field
due to their ability to obtain objective measurements for dietary intake. This feature …
due to their ability to obtain objective measurements for dietary intake. This feature …
An end-to-end food image analysis system
Modern deep learning techniques have enabled advances in image-based dietary
assessment such as food recognition and food portion size estimation. Valuable information …
assessment such as food recognition and food portion size estimation. Valuable information …
Improving dietary assessment via integrated hierarchy food classification
Image-based dietary assessment refers to the process of determining what someone eats
and how much energy and nutrients are consumed from visual data. Food classification is …
and how much energy and nutrients are consumed from visual data. Food classification is …
[HTML][HTML] Neural architecture search for lightweight neural network in food recognition
Healthy eating is an essential element to prevent obesity that will lead to chronic diseases.
Despite numerous efforts to promote the awareness of healthy food consumption, the …
Despite numerous efforts to promote the awareness of healthy food consumption, the …