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Multistream ValidNet: Improving 6D Object Pose Estimation by Automatic Multistream Validation
[article]
2021
arXiv
pre-print
This work presents a novel approach to improve the results of pose estimation by detecting and distinguishing between the occurrence of True and False Positive results. It achieves this by training a binary classifier on the output of an arbitrary pose estimation algorithm, and returns a binary label indicating the validity of the result. We demonstrate that our approach improves upon a state-of-the-art pose estimation result on the Sil\'eane dataset, outperforming a variation of the
arXiv:2106.06684v1
fatcat:nhde7fojcrejpl4psfjbwztqsq