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Earth Applications
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Prithvi CAFE: Hybrid AI Blends Tech to Improve Satellite Flood Mapping
A new preprint from researchers at the University of Wisconsin-Madison and the University of Portsmouth introduces Prithvi CAFE, a hybrid AI architecture for flood inundation mapping. By combining the Prithvi EO 2.0 foundation model with a parallel CNN branch, the method aims to improve segmentation accuracy on unseen geographies while significantly reducing the number of trainable parameters required for fine-tuning.
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