Preprint
Aug 2026
Detecting Pose Estimation Failures via Keypoint Self-Consistency
This work proposes a set of hand-crafted geometric features that capture the self-consistency of keypoint predictions, including pairwise distances, reprojection consistency, as well as render and mask consistency, which reliably detects pose estimation failures.
Robin Chan
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