OceanMAE is an ocean-adapted masked autoencoder that adds physically meaningful auxiliary descriptors during self-supervised pre-training on Sentinel-2 data and shows improved marine segmentation performance on downstream benchmarks.
Satellite remote sensing and bathymetry co-driven deep neu- ral network for coral reef shallow water benthic habitat classification
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OceanMAE: A Foundation Model for Ocean Remote Sensing
OceanMAE is an ocean-adapted masked autoencoder that adds physically meaningful auxiliary descriptors during self-supervised pre-training on Sentinel-2 data and shows improved marine segmentation performance on downstream benchmarks.