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Found 3 papers, 2 papers with code
Expanding Synthetic Real-World Degradations for Blind Video Super Resolution
Video super-resolution (VSR) techniques, especially deep-learning-based algorithms, have drastically improved over the last few years and shown impressive performance on synthetic data.
Multi-Scale Features and Parallel Transformers Based Image Quality Assessment
At the same time, we notice that multi-scale feature extraction has proven to be a promising approach for image quality assessment.
Detecting COVID-19 and Community Acquired Pneumonia using Chest CT scan images with Deep Learning
We propose a two-stage Convolutional Neural Network (CNN) based classification framework for detecting COVID-19 and Community-Acquired Pneumonia (CAP) using the chest Computed Tomography (CT) scan images.
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