CUPS learns a deep uncertainty score end-to-end with a video-based SMPL reconstructor and uses it as a conformal score to build calibrated prediction sets despite non-exchangeable video data.
Note that our training dataset is about 2.5% smaller than previous works because we hold out a small portion (∼ 1500 datapoints) for calibration
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CUPS: Improving Human Pose-Shape Estimators with Conformalized Deep Uncertainty
CUPS learns a deep uncertainty score end-to-end with a video-based SMPL reconstructor and uses it as a conformal score to build calibrated prediction sets despite non-exchangeable video data.