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Semi-Supervised 3D Hand-Object Poses Estimation With Interactions in Time

CVPR 2021 · 3D vision › Human pose estimation · approach: Depth-based hand pose regression · 172 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add object-query contextual reasoning to the object features (ablation)Joint hand-object pose model · HO-3DAverage object ADD-0.1D: 62.2 -> 67.7Helped
Use hand features as the CR query instead of object features (ablation)Joint hand-object pose model · HO-3DHand mesh error (mm): 9.7 -> 9.8Hurt
Add semi-supervised training with filtered video pseudo-labelsModel with contextual reasoning · HO-3DAverage object ADD-0.1D: 67.7 -> 76.1Helped
Add semi-supervised training with filtered video pseudo-labelsHand-object pose model · HO-3DHand mesh error (mm): 9.7 -> 9.5Helped
Remove spatial pseudo-label filtering (ablation)Semi-supervised hand pose model · HO-3DHand mesh error (mm): 9.5 -> 9.9Hurt
Remove temporal pseudo-label filtering (ablation)Semi-supervised hand pose model · HO-3DHand mesh error (mm): 9.5 -> 9.8Hurt
Add video pseudo-label trainingHand pose model · FPHAMesh AUC: 74.6 -> 76.0Helped
Add video pseudo-label trainingHand pose model · FreihandMesh AUC: 68.2 -> 69.6Helped
Use more pseudo hand labels (ablation)Semi-supervised joint hand-object model · HO-3DObject ADD-0.1DHelped

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