Abstract: We propose SharpDepth, a novel approach to monocular metric depth estimation that combines the metric accuracy of discriminative depth estimation methods (e.g., Metric3D, UniDepth) with the ...

Abstract: Traffic collisions represent a significant public health issue, resulting in extensive human suffering and considerable economic and social burdens. These occurrences not only generate ...