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 …

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 …

In this paper, we introduce Recipe1M, a new large-scale, structured corpus of over 1m
cooking recipes and 800k food images. As the largest publicly available collection of recipe …

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 …

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 …

Анотація The paper deals with the actual tasks of computer vision–recognition and
classification of objects in images. Deep learning methods based on neural networks are …

Despite developments in robotics and automation technologies, several challenges need to
be addressed to fulfill the high demand for automating various manufacturing processes in …

In this paper we approach the novel problem of segmenting an image based on a natural
language expression. This is different from traditional semantic segmentation over a …