Monitoring nutritional values in food can help an individual in planning a healthy diet. In
addition, regular dietary assessment can improve and maintain the physical and mental …

Automatic food recognition systems have been receiving increasing attention in the research
community with the advancements in inductive learning (eg, classification in computer …

State-of-the-art deep learning models for food recognition do not allow data incremental
learning and often suffer from catastrophic interference problems during the class …

Growing obesity has been a worldwide issue for several decades. This is the outcome of
common nutritional disorders which results in obese individuals who are prone to many …

Food image recognition is one among the various propitious applications in the area of
computer vision. An application with the ability to identify all kinds of food images along with …

Food plays an important role in our lives that goes beyond mere sustenance. Food affects
behavior, mood, and social life. It has recently become an important focus of multimedia and …

Recent development of deep convolutional neural networks (DCNN) devoted in creating a
slim model for devices with lower specification such as embedded, mobile hardware, or …

In gastronomic tourism, food is viewed as the central tourist attraction. Specifically,
indigenous food is known to represent the expression of local culture and identity. To …

A person is considered visually impaired if the person has partial vision or zero visibility at
all. Visual impairment is one of the common problems that affect the quality of a person's life …

Food-related issues have attracted increasing attention recently due to its various
applications in our daily life, for example, restaurant service and dietary assessment, which …