Technology impacts human life in both the aspects such as positive and negative, which
helps in better communication and eliminating geographical boundaries. However, social …

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 …

ImageNet-1K serves as the primary dataset for pretraining deep learning models for
computer vision tasks. ImageNet-21K dataset, which is bigger and more diverse, is used …

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 …

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 …

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 …

Food image segmentation is a critical and indispensible task for developing health-related
applications such as estimating food calories and nutrients. Existing food image …

Accurate estimation of nutritional information may lead to healthier diets and better clinical
outcomes. We propose a dietary assessment system based on artificial intelligence (AI) …

In this paper, we are interested in modeling a how-to instructional procedure, such as a
cooking recipe, with a meaningful and rich high-level representation. Specifically, we …

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 …