Food image classification is a fundamental step of image-based dietary
a...
Food image classification serves as a fundamental and critical step in
i...
Dietary assessment is essential to maintaining a healthy lifestyle. Auto...
Image-based dietary assessment serves as an efficient and accurate solut...
Dietary assessment is a key contributor to monitoring health status. Exi...
Deep learning based food recognition has achieved remarkable progress in...
Deep learning based food image classification has enabled more accurate
...
Food image analysis is the groundwork for image-based dietary assessment...
Generative Adversarial Networks (GAN) have been widely investigated for ...
Diet is an important aspect of our health. Good dietary habits can contr...
Online Class-Incremental Learning (OCIL) aims to continuously learn new
...
Food classification serves as the basic step of image-based dietary
asse...
Recent work has shown a strong theoretical connection between variationa...
Assessment of dietary intake has primarily relied on self-report instrum...
Food image classification serves as the foundation of image-based dietar...
We tackle the essential task of finding dense visual correspondences bet...
Food classification is critical to the analysis of nutrients comprising ...
Unsupervised continual learning aims to learn new tasks incrementally wi...
Targeted for real world scenarios, online continual learning aims to lea...
Continual learning in online scenario aims to learn a sequence of new ta...
Accurate assessment of dietary intake requires improved tools to overcom...
Photoplethysmography (PPG) is a non-invasive and economical technique to...
Image-based dietary assessment refers to the process of determining what...
Food image classification is challenging for real-world applications sin...
Continual learning, a promising future learning strategy, aims to learn ...
We aim to estimate food portion size, a property that is strongly relate...
Advances in image-based dietary assessment methods have allowed nutritio...
Modern deep learning techniques have enabled advances in image-based die...
Food recognition is one of the most important components in image-based
...
Inspired by the facts that retinal cells actually segregate the visual s...
Satellite imagery is becoming increasingly accessible due to the growing...
Deep learning based methods have achieved impressive results in many
app...
Altered and manipulated multimedia is increasingly present and widely
di...
Modern deep learning approaches have achieved great success in many visi...
It is well known that dietary habits have a significant influence on hea...
Assessing dietary intake accurately remains an open and challenging rese...
Shadows are common aspect of images and when left undetected can hinder ...
Among the image forensic issues investigated in the last few years, grea...
Encoders of AOM/AV1 codec consider an input video sequence as succession...
Due to the growing concern of chronic diseases and other health problems...
There has been a growing interest in using different approaches to impro...