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

Deep learning is transforming most areas of science and technology, including electron
microscopy. This review paper offers a practical perspective aimed at developers with …

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 …

Deep learning has provided promising results in various applications; however, algorithms
tend to be overconfident in their predictions, even though they may be entirely wrong …

The problem of food segmentation is quite challenging since food is characterized by
intrinsic high intra-class variability. Also, segmentation of food images taken in-the-wild may …

Malnutrition is a multidomain problem affecting 54% of older adults in long-term care (LTC).
Monitoring nutritional intake in LTC is laborious and subjective, limiting clinical inference …

Image semantic segmentation is a visual scene understanding task. The goal is to predict
the category label of each pixel in the input image, so as to achieve object segmentation at …

Diet management has long been an important practice in healthcare, enabling individuals to
get an insight into their nutrient intake, prevent diseases, and stay healthy. Traditional …

We present a conceptually simple framework for 6DoF object pose estimation, especially for
autonomous driving scenarios. Our approach can efficiently detect the traffic participants …

We propose GourmetNet, a single-pass, end-to-end trainable network for food segmentation
that achieves state-of-the-art performance. Food segmentation is an important problem as …