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Found 10 papers, 1 papers with code
3DG-STFM: 3D Geometric Guided Student-Teacher Feature Matching
To the best of our knowledge, 3DG-STFM is the first student-teacher learning method for the local feature matching task.
An Integrated System for Mobile Image-Based Dietary Assessment
Accurate assessment of dietary intake requires improved tools to overcome limitations of current methods including user burden and measurement error.
Motion Artifact Reduction In Photoplethysmography For Reliable Signal Selection
Therefore, our proposed method can determine the reliability of the raw noisy PPG by considering quality of the corresponding pseudo clean PPG signal.
Improving Dietary Assessment Via Integrated Hierarchy Food Classification
Image-based dietary assessment refers to the process of determining what someone eats and how much energy and nutrients are consumed from visual data.
Towards Learning Food Portion From Monocular Images With Cross-Domain Feature Adaptation
We aim to estimate food portion size, a property that is strongly related to the presence of food object in 3D space, from single monocular images under real life setting.
An End-to-End Food Image Analysis System
Our end-to-end framework is evaluated on a real life food image dataset collected from a nutrition feeding study.
Visual Aware Hierarchy Based Food Recognition
Experimental results demonstrate that our system can significantly improve both classification and recognition performance on 4 publicly available datasets and the new VFN dataset.
Incremental Learning In Online Scenario
Modern deep learning approaches have achieved great success in many vision applications by training a model using all available task-specific data.
Semi-Automatic Crowdsourcing Tool for Online Food Image Collection and Annotation
The web crawler is used to download large sets of online food images based on the given food labels.
Single-View Food Portion Estimation: Learning Image-to-Energy Mappings Using Generative Adversarial Networks
We can then estimate food energy based on the energy distribution.
