AI RESEARCH
Robust Building Damage Detection in Cross-Disaster Settings Using Domain Adaptation
arXiv CS.AI
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ArXi:2603.14694v1 Announce Type: cross Rapid structural damage assessment from remote sensing imagery is essential for timely disaster response. Within human-machine systems (HMS) for disaster management, automated damage detection provides decision-makers with actionable situational awareness. However, models trained on multi-disaster benchmarks often underperform in unseen geographic regions due to domain shift - a distributional mismatch between