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홈 뉴스 최신 연구 논문 튜토리얼 데이터셋 백과사전 SOTA LLM 모델 GPU 랭킹 컨퍼런스

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Hand Pose Estimation On Icvl Hands

평가 지표

Average 3D Error

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	Average 3D Error	Paper Title	Repository
Dense Pixel-wise Estimation	7.3	Dense 3D Regression for Hand Pose Estimation
Virtual View Selection	4.79	Efficient Virtual View Selection for 3D Hand Pose Estimation
V2V-PoseNet	6.28	V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map
SHPR-Net	7.22	SHPR-Net: Deep Semantic Hand Pose Regression From Point Clouds	-
Teacher-Student	5.99	Pushing the Envelope for Depth-Based Semi-Supervised 3D Hand Pose Estimation with Consistency Training	-
A2J	6.461	A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image
Tree Region Ensemble Network	7.31	Towards Good Practices for Deep 3D Hand Pose Estimation	-
TriHorn-Net	5.73	TriHorn-Net: A Model for Accurate Depth-Based 3D Hand Pose Estimation	-
HandFoldingNet	5.95	HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton
AWR	5.98	AWR: Adaptive Weighting Regression for 3D Hand Pose Estimation
DeepPrior++	8.1	DeepPrior++: Improving Fast and Accurate 3D Hand Pose Estimation
REN	7.5	Region Ensemble Network: Improving Convolutional Network for Hand Pose Estimation	-
DePOTR	5.98	MuTr: Multi-Stage Transformer for Hand Pose Estimation from Full-Scene Depth Image
PixelwiseRegression	6.152	Pixel-wise Regression: 3D Hand Pose Estimation via Spatial-form Representation and Differentiable Decoder
Pose-REN	6.8	Pose Guided Structured Region Ensemble Network for Cascaded Hand Pose Estimation

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Hand Pose Estimation On Icvl Hands | SOTA | HyperAI초신경