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Found 5 papers, 3 papers with code
Domain Generalization Strategy to Train Classifiers Robust to Spatial-Temporal Shift
In this paper, we propose a training strategy to make the weather prediction model robust to spatial-temporal shifts.
Simple Baseline for Weather Forecasting Using Spatiotemporal Context Aggregation Network
Traditional weather forecasting relies on domain expertise and computationally intensive numerical simulation systems.
Learning Multiple Probabilistic Degradation Generators for Unsupervised Real World Image Super Resolution
Although the goal of training the degradation generator is to approximate the distribution of LR images given a HR image, previous works have heavily relied on the unrealistic assumption that the conditional distribution is a delta function and learned the deterministic mapping from the HR image to a LR image.
NTIRE 2021 Challenge on Perceptual Image Quality Assessment
This paper reports on the NTIRE 2021 challenge on perceptual image quality assessment (IQA), held in conjunction with the New Trends in Image Restoration and Enhancement workshop (NTIRE) workshop at CVPR 2021.
Deep Video Quality Assessor: From Spatio-temporal Visual Sensitivity to A Convolutional Neural Aggregation Network
Incorporating spatio-temporal human visual perception into video quality assessment (VQA) remains a formidable issue.
