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Insta-BDA: Instance-Aware Building Damage Assessment and Counting via Foundation Model Fusion
Accurate building damage assessment from satellite imagery is essential for post-disaster response and recovery. Most deep learning approaches treat this task as semantic segmentation, producing pixel-level damage maps without separating individual buildings. This formulation inherently limits reliable per-building dam...