Evidence-constrained vision-language framework for building-level post-earthquake residual-morphology image pre-triage

This publication has 27 references indexed in Scilit:

• Rapid post-earthquake damage assessment using patch-level CNNs and VLM
  Bulletin of Earthquake Engineering, 2026
• A dual-retrieval augmented Multimodal Large Language Model framework for automatic post-earthquake building safety evaluation
  Advanced Engineering Informatics, 2026
• Integrating segmentation and vision-language model for automated and interpretable building damage assessment from satellite imagery
  Advanced Engineering Informatics, 2026
• Multitask unified large vision-language model for post-earthquake structural damage assessment of buildings
  Automation in Construction, 2025
• Quantitative post-earthquake building condition inference from exterior drift-sensitive nonstructural damage observations
  Engineering Structures, 2025
• Image-based preliminary emergency assessment of damaged buildings after earthquake: Taiwan case studies
  Engineering Applications of Artificial Intelligence, 2023
• A graphics-based digital twin framework for computer vision-based post-earthquake structural inspection and evaluation using unmanned aerial vehicles
  Journal of Infrastructure Intelligence and Resilience, 2022
• Automated regional seismic damage assessment of buildings using an unmanned aerial vehicle and a convolutional neural network
  Automation in Construction, 2020
• A comprehensive review of earthquake-induced building damage detection with remote sensing techniques
  ISPRS Journal of Photogrammetry and Remote Sensing, 2013
• Classification of Collapsed Buildings for Fast Damage and Loss Assessment
  Bulletin of Earthquake Engineering, 2006