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Selecting the right VLM adaptation strategy can drastically improve performance in federated learning for remote sensing, balancing efficiency and generalization.
VLMs struggle with Earth observation tasks involving complex land use, but a new dataset with nearly 10 million text annotations could change that.
Finally, a dataset that tackles the hard problem of 24/7 cloud detection by fusing thermal infrared data with multispectral and auxiliary information, enabling more reliable remote sensing applications.
