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With UniEvo-RS, minimal interaction on a few exemplars can lead to significant accuracy improvements in remote sensing segmentation, even for unseen categories.
Vocabulary-relative queries can nearly double the accuracy of state localization in object histories, transforming how we understand visual tracking.
Transforming vector mapping into a language-based task unlocks unprecedented flexibility and generalization in remote sensing applications.
