Abstract: To fully leverage spatial information for remote sensing image segmentation and address semantic edge ambiguities caused by grayscale variations (e.g., shadows and low-contrast regions), we ...

Abstract: Limited labeled data could compromise the robustness of segmentation models trained on medical images. In medical imaging, manual segmentation is time-consuming and financially costly since ...