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Found 3 papers, 1 papers with code
On the Calibration of Human Pose Estimation
Most 2D human pose estimation frameworks estimate keypoint confidence in an ad-hoc manner, using heuristics such as the maximum value of heatmaps.
Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement
The capacity of a modern deep learning system to determine if a sample falls within its realm of knowledge is fundamental and important.
Ranked #1 on
Out-of-Distribution Detection
on Far-OOD
Out-of-Distribution Detection
Out of Distribution (OOD) Detection
MHEntropy: Entropy Meets Multiple Hypotheses for Pose and Shape Recovery
For monocular RGB-based 3D pose and shape estimation, multiple solutions are often feasible due to factors like occlusion and truncation.
