Multi-Modal Deep Learning Approach for Post-Hurricane Building Damage Assessment

A novel multi-modal deep learning model, Multi-Modal Swin Transformer (MMST), can accurately classify building damage levels after hurricanes by leveraging both street-view imagery and structured data such as building characteristics and wind speed.