IEEE

A Lightweight Semantic Segmentation Network Based on Self-Attention Mechanism and State Space Model for Efficient Urban Scene Segmentation

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 ...
IEEE

Multiscale Adaptive Prototype Transformer Network for Few-Shot Strip Steel Surface Defect Segmentation

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 ...