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Transforming vector mapping into a language-based task unlocks unprecedented flexibility and generalization in remote sensing applications.
LiDAR semantic segmentation models can now generalize across drastically different viewpoints thanks to a novel geometric consistency approach that enforces prediction consistency across augmented views.
