HyperAI
AccueilActualitésArticles de recherche récentsTutorielsEnsembles de donnéesWikiSOTAModèles LLMClassement GPUÉvénements
Recherche
À propos
HyperAI

Hand Pose Estimation On Hands 2017

Métriques

Average 3D Error

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle
Average 3D Error
Paper TitleRepository
RCN-3D9.97Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals
V2V-NTIS7.51Hand Pose Estimation in the Task of Egocentric Actions-
Pose-REN11.70Pose Guided Structured Region Ensemble Network for Cascaded Hand Pose Estimation
Vanora11.91Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals
PixelwiseRegression10.57Pixel-wise Regression: 3D Hand Pose Estimation via Spatial-form Representation and Differentiable Decoder
A2J8.57A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image
AWR7.48AWR: Adaptive Weighting Regression for 3D Hand Pose Estimation
V2V-PoseNet9.95V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map
Oasis11.30Hand PointNet: 3D Hand Pose Estimation Using Point Sets
0 of 9 row(s) selected.