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Hand Pose Estimation On Msra Hands

Métriques

Average 3D Error

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	Average 3D Error	Paper Title	Repository
Pose-REN	8.6	Pose Guided Structured Region Ensemble Network for Cascaded Hand Pose Estimation
TriHorn-Net	7.13	TriHorn-Net: A Model for Accurate Depth-Based 3D Hand Pose Estimation	-
AWR	7.15	AWR: Adaptive Weighting Regression for 3D Hand Pose Estimation
V2V-PoseNet	7.49	V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map
SHPR-Net	7.76	SHPR-Net: Deep Semantic Hand Pose Regression From Point Clouds	-
DeepPrior++	9.5	DeepPrior++: Improving Fast and Accurate 3D Hand Pose Estimation
REN	9.8	Region Ensemble Network: Improving Convolutional Network for Hand Pose Estimation	-
Teacher-Student	7.18	Pushing the Envelope for Depth-Based Semi-Supervised 3D Hand Pose Estimation with Consistency Training	-
HandFoldingNet	7.34	HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton
Dense Pixel-wise Estimation	7.2	Dense 3D Regression for Hand Pose Estimation
PixelwiseRegression	7.985	Pixel-wise Regression: 3D Hand Pose Estimation via Spatial-form Representation and Differentiable Decoder

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