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 ...
Online Class-Incremental Learning (OCIL) aims to continuously learn new
...
Food classification serves as the basic step of image-based dietary
asse...
Food image classification serves as the foundation of image-based dietar...
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...
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...
Modern deep learning techniques have enabled advances in image-based die...
Food recognition is one of the most important components in image-based
...
Deep learning based methods have achieved impressive results in many
app...
Modern deep learning approaches have achieved great success in many visi...