Hai-Bo Zhang

ViL-UNet: Multi-Scale Global–Local Feature Fusion for High-Resolution Remote-Sensing Segmentation

Efficiently extracting and integrating multi-scale global and local information remains a main challenge in remote-sensing semantic-segmentation tasks. Current convolutional neural networks (CNNs) can only capture fine-grained details but cannot model long-range dependencies. In contrast, sequence models, such as Trans...