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📄 Abstract
Abstract: EarthVision Embed2Scale challenge (CVPR 2025) aims to develop foundational
geospatial models to embed SSL4EO-S12 hyperspectral geospatial data cubes into
embedding vectors that faciliatetes various downstream tasks, e.g.,
classification, regression, etc. In this technical report, we introduce our
proposed method for the Top-1 winning solution on the Embed2Scale Challenge.