arXiv (OAI Expanded)
open access
DisasterInsight: A Building-Centric Benchmark for Evaluating Vision--Language Models in Disaster Response
Vision--language models (VLMs) show promise for disaster-response remote sensing, but existing benchmarks mainly emphasize scene-level or damage-centric assessment. To study this building-centric gap, we introduce \method{}, a diagnostic benchmark built on xBD, a pre/post-disaster satellite dataset
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