Semantic segmentation is an important computer vision task due to its multiple applications in real-world scenarios, including autonomous driving, medical image analysis, remote sensing imagery, fault ...

Accurate semantic segmentation of high-resolution remote sensing images is crucial for urban planning, land cover mapping, and environmental monitoring. However, this task remains challenging due to ...