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Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning

Computer Vision and Pattern Recognition(2024)

Cited 0|Views68
Key words
Super-resolution,Self-supervised Learning,High-resolution Images,Real-world Applications,Real-world Scenarios,Real-world Datasets,Target Domain,Low-resolution Images,Real-world Images,Training Framework,Super-resolution Model,Training Data,Transformer,Convolutional Neural Network,Supervised Learning,Entire Dataset,Unsupervised Learning,Number Of Images,Paired Data,Generative Adversarial Networks,Super-resolution Network,Degradation Pattern,Paired Datasets,Real-world Environments
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