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Hand Pose Estimation On Msra Hands

Metrics

Average 3D Error

Results

Performance results of various models on this benchmark

Model Name
Average 3D Error
Paper TitleRepository
Pose-REN8.6Pose Guided Structured Region Ensemble Network for Cascaded Hand Pose Estimation
TriHorn-Net7.13TriHorn-Net: A Model for Accurate Depth-Based 3D Hand Pose Estimation-
AWR7.15AWR: Adaptive Weighting Regression for 3D Hand Pose Estimation
V2V-PoseNet7.49V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map
SHPR-Net7.76SHPR-Net: Deep Semantic Hand Pose Regression From Point Clouds-
DeepPrior++ 9.5DeepPrior++: Improving Fast and Accurate 3D Hand Pose Estimation
REN 9.8Region Ensemble Network: Improving Convolutional Network for Hand Pose Estimation-
Teacher-Student7.18Pushing the Envelope for Depth-Based Semi-Supervised 3D Hand Pose Estimation with Consistency Training-
HandFoldingNet7.34HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton
Dense Pixel-wise Estimation7.2Dense 3D Regression for Hand Pose Estimation
PixelwiseRegression7.985Pixel-wise Regression: 3D Hand Pose Estimation via Spatial-form Representation and Differentiable Decoder
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