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 ...

Abstract: In recent years, few-shot semantic segmentation (FSS) of strip steel surface defects (S3D) has posed significant challenges, primarily due to the wide diversity of scenarios and the inherent ...