Dual-Path Collaborative Transformer: Hybrid Attention and Stepwise Dilated Convolution for Remote Sensing Image Super-Resolution
A novel dual-path collaborative architecture, named DCTNet, which combines Transformer-based global modeling with convolution-driven local feature extraction and achieves competitive reconstruction performance across different scale factors, with statistically significant improvements observed in specific settings.