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Research map / 3D vision / Human pose estimation

Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation

CVPR 2018 · 3D vision › Human pose estimation · approach: Heatmap and coordinate pose encoding · 230 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add adversarial scaling and rotating (ablation)Residual hourglass · MPII validationPCKh@0.5 mean: 87.0 -> 87.5Helped
Add adversarial hierarchical occluding (ablation)Residual hourglass · MPII validationPCKh@0.5 mean: 87.0 -> 87.4Helped
Add adversarial scaling and rotating plus hierarchical occluding (ablation)Residual hourglass · MPII validationPCKh@0.5 mean: 87.0 -> 87.8Helped
Add adversarial scaling and rotating (ablation)Dense hourglass · MPII validationPCKh@0.5 mean: 86.8 -> 87.3Helped
Add adversarial hierarchical occluding (ablation)Dense hourglass · MPII validationPCKh@0.5 mean: 86.8 -> 87.2Helped
Add adversarial scaling and rotating plus hierarchical occluding (ablation)Dense hourglass · MPII validationPCKh@0.5 mean: 86.8 -> 87.6Helped
Jointly train with adversarial scaling, rotating, and hierarchical occludingStacked HGs(8) · MPII testPCKh@0.5 mean: 90.9 -> 91.5Helped
Jointly train with adversarial scaling, rotating, and hierarchical occludingStacked HGs(8) · LSPPCK@0.2 mean: 93.0 -> 94.5Helped
Use adversarial scaling and rotating plus hierarchical occluding instead of either component alone (ablation)Residual and dense hourglasses · MPII validationPCKh@0.5 mean: 0.4%Helped

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