Abstract: Transformers and convolutional neural networks (CNNs) have garnered significant attention recently for low-level vision tasks, particularly image super-resolution (SR). However, CNNs are ...
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Abstract: In biomedical image analysis, developing architectures that effectively capture long-range dependencies is crucial. Traditional Convolutional Neural Networks (CNNs) are constrained by their ...