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ArtiBoost: Boosting Articulated 3D Hand-Object Pose Estimation via Online Exploration and Synthesis

CVPR 2022 · 3D vision › Human pose estimation · approach: Depth-based hand pose regression · 87 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add ArtiBoost synthetic training dataClas and Reg on HO3D · HO3DMPJPE: 3.53 -> 3.17; 3.06 -> 2.64Helped
Add ArtiBoost synthetic training dataClas and Reg on HO3D · HO3DMPCPE: 7.38 -> 5.87; 7.24 -> 5.16Helped
Add ArtiBoost synthetic training datasymmetry-aware Clas · HO3DMPJPE: 3.10 -> 2.53Helped
Add ArtiBoost synthetic training datasymmetry-aware Clas · DexYCB S0MPJPE: 13.00 -> 12.80Helped
Replace conventional YCBAfford grasps with CCV-space grasps (ablation)Clas trained on HO3D · HO3DMPJPE: 3.01 -> 2.71Helped
Replace conventional YCBAfford grasps with CCV-space grasps (ablation)Clas trained on HO3D · HO3DMPCPE: 6.89 -> 5.49Helped
Add full ArtiBoost, including online reweighting, after CCV-space synthesis (ablation)Clas trained on HO3D · HO3DMPJPE: 2.71 -> 2.64Helped
Add full ArtiBoost, including online reweighting, after CCV-space synthesis (ablation)Clas trained on HO3D · HO3DMPCPE: 5.49 -> 5.16Helped
Remove ordinal relation loss (ablation)Clas on FHAB · FHAB action testMPJPE: 8.60 -> 8.71Hurt
Remove ordinal relation loss (ablation)Clas on FHAB · FHAB action testMPCPE: 19.45 -> 18.64Mixed
Use online sample reweighting instead of fixed uniform sampling weights (ablation)symmetry-aware Clas on DexYCB · DexYCBconvergence and final scoreHelped
Add ArtiBoost synthetic data with only 10% of the real training setReg and Clas · HO3DMPJPE: 3.81 -> 3.29; 3.63 -> 3.05Mixed

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