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Forget training separate models for different field-of-views in geo-localization — SinGeo achieves SOTA robustness with a single model, even outperforming specialized architectures.
By converting point clouds into a format VLMs can understand, VLM-Loc significantly boosts text-to-point-cloud localization accuracy, outperforming prior methods that rely on shallower text-point cloud correspondences.
