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SOTA
无监督三维人体姿态估计
Unsupervised 3D Human Pose Estimation On Mpi
Unsupervised 3D Human Pose Estimation On Mpi
评估指标
AUC
PCK
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
AUC
PCK
Paper Title
LInKs
54
86.3
LInKs "Lifting Independent Keypoints" -- Partial Pose Lifting for Occlusion Handling with Improved Accuracy in 2D-3D Human Pose Estimation
Kinematic-Structure-Preserved Representation
43.4
79.2
Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation
ITES-TS
35.2
68.2
Invariant Teacher and Equivariant Student for Unsupervised 3D Human Pose Estimation
SVMAC
-
66.5
SVMAC: Unsupervised 3D Human Pose Estimation from a Single Image with Single-view-multi-angle Consistency
0 of 4 row(s) selected.
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Next
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
无监督三维人体姿态估计
Unsupervised 3D Human Pose Estimation On Mpi
Unsupervised 3D Human Pose Estimation On Mpi
评估指标
AUC
PCK
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
AUC
PCK
Paper Title
LInKs
54
86.3
LInKs "Lifting Independent Keypoints" -- Partial Pose Lifting for Occlusion Handling with Improved Accuracy in 2D-3D Human Pose Estimation
Kinematic-Structure-Preserved Representation
43.4
79.2
Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation
ITES-TS
35.2
68.2
Invariant Teacher and Equivariant Student for Unsupervised 3D Human Pose Estimation
SVMAC
-
66.5
SVMAC: Unsupervised 3D Human Pose Estimation from a Single Image with Single-view-multi-angle Consistency
0 of 4 row(s) selected.
Previous
Next