Abstract: In biomedical image analysis, developing architectures that effectively capture long-range dependencies is crucial. Traditional Convolutional Neural Networks (CNNs) are constrained by their ...

Abstract: Hyperspectral image classification is essential in remote sensing applications, aiming to accurately categorize land cover or materials depicted in hyperspectral data. This paper introduces ...