MAPEX shows that a modality-conditioned mixture-of-experts vision transformer, pre-trained on six remote sensing modalities and then pruned to keep only the experts for a target modality, can outperform or match larger foundation models on single-modality downstream tasks.
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MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models
MAPEX shows that a modality-conditioned mixture-of-experts vision transformer, pre-trained on six remote sensing modalities and then pruned to keep only the experts for a target modality, can outperform or match larger foundation models on single-modality downstream tasks.