HyperAIHyperAI초신경
홈뉴스최신 연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
전체 검색
소개
HyperAIHyperAI초신경

Hand Pose Estimation On Hands 2017

평가 지표

Average 3D Error

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름
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.
Hand Pose Estimation On Hands 2017 | SOTA | HyperAI초신경