Food portion estimation via 3d object scaling
Image-based methods to analyze food images have alleviated the user burden and biases
associated with traditional methods. However accurate portion estimation remains a major …
associated with traditional methods. However accurate portion estimation remains a major …
Long-tailed food classification
Food classification serves as the basic step of image-based dietary assessment to predict
the types of foods in each input image. However, foods in real-world scenarios are typically …
the types of foods in each input image. However, foods in real-world scenarios are typically …
Long-tailed continual learning for visual food recognition
Deep learning based food recognition has achieved remarkable progress in predicting food
types given an eating occasion image. However, there are two major obstacles that hinder …
types given an eating occasion image. However, there are two major obstacles that hinder …
Automatic recognition of food ingestion environment from the aim-2 wearable sensor
Detecting an ingestion environment is an important aspect of monitoring dietary intake. It
provides insightful information for dietary assessment. However it is a challenging problem …
provides insightful information for dietary assessment. However it is a challenging problem …
How Much You Ate? Food Portion Estimation on Spoons
Monitoring dietary intake is a crucial aspect of promoting healthy living. In recent years
advances in computer vision technology have facilitated dietary intake monitoring through …
advances in computer vision technology have facilitated dietary intake monitoring through …
An improved encoder-decoder framework for food energy estimation
Dietary assessment is essential to maintaining a healthy lifestyle. Automatic image-based
dietary assessment is a growing field of research due to the increasing prevalence of image …
dietary assessment is a growing field of research due to the increasing prevalence of image …
Muti-stage hierarchical food classification
Food image classification serves as a fundamental and critical step in image-based dietary
assessment, facilitating nutrient intake analysis from captured food images. However …
assessment, facilitating nutrient intake analysis from captured food images. However …
Diffusion model with clustering-based conditioning for food image generation
Image-based dietary assessment serves as an efficient and accurate solution for recording
and analyzing nutrition intake using eating occasion images as input. Deep learning-based …
and analyzing nutrition intake using eating occasion images as input. Deep learning-based …
FoodCSWin: A high-accuracy food image recognition model for dietary assessment
Improving dietary assessment methods is an important research direction in the field of
computer vision applications. This research direction proposes the use of mobile devices …
computer vision applications. This research direction proposes the use of mobile devices …
FMiFood: Multi-modal Contrastive Learning for Food Image Classification
Food image classification is the fundamental step in image-based dietary assessment,
which aims to estimate participants' nutrient intake from eating occasion images. A common …
which aims to estimate participants' nutrient intake from eating occasion images. A common …