HyperAI초신경
홈뉴스최신 연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
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Hand Pose Estimation On Nyu Hands

평가 지표

Average 3D Error

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름
Average 3D Error
Paper TitleRepository
REN12.7Region Ensemble Network: Improving Convolutional Network for Hand Pose Estimation-
REN15.6Towards Good Practices for Deep 3D Hand Pose Estimation-
A2J Transformer8.43A2J-Transformer: Anchor-to-Joint Transformer Network for 3D Interacting Hand Pose Estimation from a Single RGB Image
DeepPrior++12.3DeepPrior++: Improving Fast and Accurate 3D Hand Pose Estimation
A2J8.61A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image
PixelwiseRegression9.173Pixel-wise Regression: 3D Hand Pose Estimation via Spatial-form Representation and Differentiable Decoder
Teacher-Student8.01Pushing the Envelope for Depth-Based Semi-Supervised 3D Hand Pose Estimation with Consistency Training-
DePOTR7.85MuTr: Multi-Stage Transformer for Hand Pose Estimation from Full-Scene Depth Image
TriHorn-Net7.68TriHorn-Net: A Model for Accurate Depth-Based 3D Hand Pose Estimation-
Pose-REN11.8Pose Guided Structured Region Ensemble Network for Cascaded Hand Pose Estimation
V2V-PoseNet8.42V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map
AWR7.48AWR: Adaptive Weighting Regression for 3D Hand Pose Estimation
SHPR-Net9.37SHPR-Net: Deep Semantic Hand Pose Regression From Point Clouds-
Virtual View Selection6.4Efficient Virtual View Selection for 3D Hand Pose Estimation
Dense Pixel-wise Estimation10.2Dense 3D Regression for Hand Pose Estimation
MuTr - Full-Scene Image8.71MuTr: Multi-Stage Transformer for Hand Pose Estimation from Full-Scene Depth Image
HandFoldingNet8.58HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton
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