MG-MAE pretrained on a new 28-channel lunar map outperforms ImageNet, vanilla MAE, and EO foundation models across six classification, regression, and segmentation tasks.
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Moonstone: A Multimodal Foundation Model and Benchmark for Lunar Remote Sensing
MG-MAE pretrained on a new 28-channel lunar map outperforms ImageNet, vanilla MAE, and EO foundation models across six classification, regression, and segmentation tasks.