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 …

Deep learning has been proved to be an advanced technology for big data analysis with a
large number of successful cases in image processing, speech recognition, object detection …

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 …

We present a simple yet efficient approach capable of training deep neural networks on
large-scale weakly-supervised web images, which are crawled rawly from the Internet by …

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 …

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 …

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 …

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 …

A daily dietary assessment method named 24-hour dietary recall has commonly been used
in nutritional epidemiology studies to capture detailed information of the food eaten by the …

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 …