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Extracting buildings from satellite imagery in hazy or low-light conditions just got a whole lot better thanks to a new dataset and method that leverages frequency-aware attention and multi-scale guidance.
Detecting subtle building changes gets a boost: a new RGB-NIR dataset and network reveal the power of multi-modal fusion for teasing out fine-grained differences.