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Found 6 papers, 3 papers with code
Vision Transformer-based Model for Severity Quantification of Lung Pneumonia Using Chest X-ray Images
To develop generic and reliable approaches for diagnosing and assessing the severity of COVID-19 from chest X-rays (CXR), a large number of well-maintained COVID-19 datasets are needed.
SuperpixelGridCut, SuperpixelGridMean and SuperpixelGridMix Data Augmentation
These grid-based methods produce a new style of image transformations using the dropping and fusing of information.
MaskedFace-Net -- A Dataset of Correctly/Incorrectly Masked Face Images in the Context of COVID-19
However, at the moment, there are no available large dataset of masked face images that permits to check if detected masked faces are correctly worn or not.
Deep Learning on Chest X-ray Images to Detect and Evaluate Pneumonia Cases at the Era of COVID-19
Tailored deep learning models are proposed to detect pneumonia infection cases, notably viral cases.
Design, Implementation and Simulation of a Cloud Computing System for Enhancing Real-time Video Services by using VANET and Onboard Navigation Systems
The implemented architecture has been experimented in the case of a simulated road service to aid the police agency.
A Synergistic Approach for Recovering Occlusion-Free Textured 3D Maps of Urban Facades from Heterogeneous Cartographic Data
In this paper we present a practical approach for generating an occlusion-free textured 3D map of urban facades by the synergistic use of terrestrial images, 3D point clouds and area-based information.
