AI RESEARCH
OceanMAE: A Foundation Model for Ocean Remote Sensing
arXiv CS.CV
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ArXi:2604.08171v1 Announce Type: new Accurate ocean mapping is essential for applications such as bathymetry estimation, seabed characterization, marine litter detection, and ecosystem monitoring. However, ocean remote sensing (RS) remains constrained by limited labeled data and by the reduced transferability of models pre-trained mainly on land-dominated Earth observation imagery. In this paper, we propose OceanMAE, an ocean-specific masked autoencoder that extends standard MAE pre-