A framework combining entropy-minimization pseudo-labeling with source-to-target MAE pre-training on a frozen geospatial foundation model improves cross-sensor semantic segmentation.
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A Sensor Agnostic Domain Generalization Framework for Leveraging Geospatial Foundation Models: Enhancing Semantic Segmentation viaSynergistic Pseudo-Labeling and Generative Learning
A framework combining entropy-minimization pseudo-labeling with source-to-target MAE pre-training on a frozen geospatial foundation model improves cross-sensor semantic segmentation.