CropTTA estimates data uncertainty in deep homography estimation from the standard deviation of displacement predictions across random thermal-image crops, improving failure detection in satellite-thermal UAV geo-localization.
Unifying foundation models with quadrotor control for visual track- ing beyond object categories,
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UASTHN: Uncertainty-Aware Deep Homography Estimation for UAV Satellite-Thermal Geo-localization
CropTTA estimates data uncertainty in deep homography estimation from the standard deviation of displacement predictions across random thermal-image crops, improving failure detection in satellite-thermal UAV geo-localization.