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 …

Recognizing the category and its ingredient composition from food images facilitates
automatic nutrition estimation, which is crucial to various health relevant applications, such …

Ingredient prediction has received more and more attention with the help of image
processing for its diverse real-world applications, such as nutrition intake management and …

Recently, visual food analysis has received more and more attention in the computer vision
community due to its wide application scenarios, eg, diet nutrition management, smart …

It is important for food recognition to separate each ingredient within a food image at the
pixel level. Most existing research has trained a segmentation network on datasets with pixel …

Food recognition applications in human health have recently garnered significant attention
in the field of computer vision. With the advancement of mobile devices, robust food …

Generating food images from recipe and ingredient information can be applied to many
tasks such as food recommendation, recipe development, and health management. For the …

Humans need food, and the food detection system is a fascinating research topic and a
complex weight loss mechanism. Eating healthy and balanced is crucial. Over the last few …

Food recognition has a wide range of applications, such as health-aware recommendation
and self-service restaurants. Most previous methods of food recognition firstly locate …

With the rapid development of food production and health management, analyses of food
samples have been essential for preventing diseases and understanding human culture …