Hybrid Attention Fusion Embedded in Transformer for Remote Sensing Image Semantic Segmentation
In the context of fast progress in deep learning, convolutional neural networks have been extensively applied to the semantic segmentation of remote sensing images and have achieved significant progress.However, certain limitations exist in capturing global contextual information due to the characteristics of convolutional local properties.Recently