SatMamba shows that a Mamba-based masked autoencoder matches ViT-based MAE on remote sensing segmentation and damage assessment, with efficiency linear in sequence length only at larger inputs.
Foundation Models for Generalist Geospatial Artificial Intelligence,
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SatMamba: Development of Foundation Models for Remote Sensing Imagery Using State Space Models
SatMamba shows that a Mamba-based masked autoencoder matches ViT-based MAE on remote sensing segmentation and damage assessment, with efficiency linear in sequence length only at larger inputs.