Abstract: Semantic segmentation, a fundamental visual task ubiquitously employed in sectors ranging from transportation and robotics to healthcare, has always captivated the research community. In the ...

Abstract: In the semantic segmentation of remote sensing images, methods based on convolutional neural networks (CNNs) and Transformers have been extensively studied. Nevertheless, CNN struggles to ...

This repository contains code and datasets for our research on developing machine learning models that mimic human visual motion perception. While state-of-the-art computer vision (CV) models, such as ...