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SOTA
手势识别
Hand Gesture Recognition On Dhg 28
Hand Gesture Recognition On Dhg 28
评估指标
Accuracy
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
Accuracy
Paper Title
e2eET
92.38
Real-Time Hand Gesture Recognition: Integrating Skeleton-Based Data Fusion and Multi-Stream CNN
DD-Net
91.9
Make Skeleton-based Action Recognition Model Smaller, Faster and Better
FPPR-PCD
91.7
Fusing Posture and Position Representations for Point Cloud-Based Hand Gesture Recognition
TD-GCN
91.4
Temporal Decoupling Graph Convolutional Network for Skeleton-based Gesture Recognition
DG-STA
88
Construct Dynamic Graphs for Hand Gesture Recognition via Spatial-Temporal Attention
Parallel-Conv
84.35
Deep Learning for Hand Gesture Recognition on Skeletal Data
MFANet
80.32
Motion Feature Augmented Recurrent Neural Network for Skeleton-based Dynamic Hand Gesture Recognition
0 of 7 row(s) selected.
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HyperAI
HyperAI超神经
首页
算力平台
文档
资讯
论文
教程
数据集
百科
SOTA
LLM 模型天梯
GPU 天梯
顶会
开源项目
全站搜索
关于
服务条款
隐私政策
中文
HyperAI
HyperAI超神经
Toggle Sidebar
全站搜索…
⌘
K
Command Palette
Search for a command to run...
算力平台
首页
SOTA
手势识别
Hand Gesture Recognition On Dhg 28
Hand Gesture Recognition On Dhg 28
评估指标
Accuracy
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
Accuracy
Paper Title
e2eET
92.38
Real-Time Hand Gesture Recognition: Integrating Skeleton-Based Data Fusion and Multi-Stream CNN
DD-Net
91.9
Make Skeleton-based Action Recognition Model Smaller, Faster and Better
FPPR-PCD
91.7
Fusing Posture and Position Representations for Point Cloud-Based Hand Gesture Recognition
TD-GCN
91.4
Temporal Decoupling Graph Convolutional Network for Skeleton-based Gesture Recognition
DG-STA
88
Construct Dynamic Graphs for Hand Gesture Recognition via Spatial-Temporal Attention
Parallel-Conv
84.35
Deep Learning for Hand Gesture Recognition on Skeletal Data
MFANet
80.32
Motion Feature Augmented Recurrent Neural Network for Skeleton-based Dynamic Hand Gesture Recognition
0 of 7 row(s) selected.
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Next
Hand Gesture Recognition On Dhg 28 | SOTA | HyperAI超神经