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Bypassing geometric warping, this framework reveals that mining semantic consensus directly in feature space can dramatically enhance cross-view geo-localization accuracy.
Calibration errors that plague traditional methods are effectively neutralized, leading to unprecedented accuracy in 6-DOF motion estimation.
