NVIDIA Research: Fast Uncertainty Quantification for Deep Object Pose Estimation

Originally published at: NVIDIA Research: Fast Uncertainty Quantification for Deep Object Pose Estimation | NVIDIA Developer Blog

Researchers from NVIDIA, University of Texas at Austin and Caltech developed a simple, efficient, and plug-and-play uncertainty quantification method for the 6-DoF object pose estimation task, using an ensemble of K pre-trained estimators with different architectures and/or training data sources.