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 ...

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 ...