GeoCR: Learning a Generalist Cloud Removal Prior from Heterogeneous Observations
GeoCR is a generalist cloud-removal model unifying RGB and multispectral inputs, with optional SAR, across ten datasets.
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GeoCR is a generalist cloud-removal model unifying RGB and multispectral inputs, with optional SAR, across ten datasets.
GeoSET is a generalist SAR-to-EO translation model pretrained on over three million pairs and adapted with LoRA.
Frozen DINOv3 optical prototypes supervise SAR target recognition without EO/SAR pairs, improving classification on the heavily imbalanced UNICORNv2 dataset.
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