[HTML][HTML] A critical review on computer vision and artificial intelligence in food industry
Emerging technologies such as computer vision and Artificial Intelligence (AI) are estimated
to leverage the accessibility of big data for active training and yielding operational real time …
to leverage the accessibility of big data for active training and yielding operational real time …
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 …
Food image recognition using deep convolutional network with pre-training and fine-tuning
K Yanai, Y Kawano - 2015 IEEE International Conference on …, 2015 - ieeexplore.ieee.org
In this paper, we examined the effectiveness of deep convolutional neural network (DCNN)
for food photo recognition task. Food recognition is a kind of fine-grained visual recognition …
for food photo recognition task. Food recognition is a kind of fine-grained visual recognition …
NutriNet: a deep learning food and drink image recognition system for dietary assessment
S Mezgec, B Koroušić Seljak - Nutrients, 2017 - mdpi.com
Automatic food image recognition systems are alleviating the process of food-intake
estimation and dietary assessment. However, due to the nature of food images, their …
estimation and dietary assessment. However, due to the nature of food images, their …
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 …
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 …
Food recognition: a new dataset, experiments, and results
G Ciocca, P Napoletano… - IEEE journal of biomedical …, 2016 - ieeexplore.ieee.org
We propose a new dataset for the evaluation of food recognition algorithms that can be used
in dietary monitoring applications. Each image depicts a real canteen tray with dishes and …
in dietary monitoring applications. Each image depicts a real canteen tray with dishes and …
Multi-scale multi-view deep feature aggregation for food recognition
Recently, food recognition has received more and more attention in image processing and
computer vision for its great potential applications in human health. Most of the existing …
computer vision for its great potential applications in human health. Most of the existing …
Intelligent food processing: Journey from artificial neural network to deep learning
Since its initiation, ANN became popular and also plays a key role in enhancing the latest
technology. With an increase in industrial automation and the Internet of Things, now it is …
technology. With an increase in industrial automation and the Internet of Things, now it is …
Food/non-food image classification and food categorization using pre-trained googlenet model
A Singla, L Yuan, T Ebrahimi - … of the 2nd international workshop on …, 2016 - dl.acm.org
Recent past has seen a lot of developments in the field of image-based dietary assessment.
Food image classification and recognition are crucial steps for dietary assessment. In the …
Food image classification and recognition are crucial steps for dietary assessment. In the …