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Models/SemGCN

SemGCN

Reported on 38 benchmarks across 7 tasks · 2 papers

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision21 results

HandonHO-3D v2
PA-MPJPE (mm)· 2024-03-04
8.8
best: 12.5 (Pose2Mesh)
3D Hand Reconstruction via Aggregating Intra and Inter Graphs Guided by Prior Knowledge for Hand-Object Interaction Scenario arXiv:2403.01733
HandonDexYCB
Average MPJPE (mm)· 2024-03-04
13.2
best: 19 (AlignSDF)
3D Hand Reconstruction via Aggregating Intra and Inter Graphs Guided by Prior Knowledge for Hand-Object Interaction Scenario arXiv:2403.01733
HandonDexYCB
MPVPE· 2024-03-04
12.4
best: 13.1 (HandOccNet)
3D Hand Reconstruction via Aggregating Intra and Inter Graphs Guided by Prior Knowledge for Hand-Object Interaction Scenario arXiv:2403.01733
HandonDexYCB
PA-MPVPE· 2024-03-04
5.4
best: 5.6 (MobRecon)
3D Hand Reconstruction via Aggregating Intra and Inter Graphs Guided by Prior Knowledge for Hand-Object Interaction Scenario arXiv:2403.01733
HandonDexYCB
Procrustes-Aligned MPJPE· 2024-03-04
5.6
best: 6.99 (METRO)
3D Hand Reconstruction via Aggregating Intra and Inter Graphs Guided by Prior Knowledge for Hand-Object Interaction Scenario arXiv:2403.01733
Pose EstimationonHO-3D v2
PA-MPJPE (mm)· 2024-03-04
8.8
best: 12.5 (Pose2Mesh)
3D Hand Reconstruction via Aggregating Intra and Inter Graphs Guided by Prior Knowledge for Hand-Object Interaction Scenario arXiv:2403.01733
Pose EstimationonDexYCB
Average MPJPE (mm)· 2024-03-04
13.2
best: 19 (AlignSDF)
3D Hand Reconstruction via Aggregating Intra and Inter Graphs Guided by Prior Knowledge for Hand-Object Interaction Scenario arXiv:2403.01733
Pose EstimationonDexYCB
MPVPE· 2024-03-04
12.4
best: 13.1 (HandOccNet)
3D Hand Reconstruction via Aggregating Intra and Inter Graphs Guided by Prior Knowledge for Hand-Object Interaction Scenario arXiv:2403.01733
Pose EstimationonDexYCB
PA-MPVPE· 2024-03-04
5.4
best: 5.6 (MobRecon)
3D Hand Reconstruction via Aggregating Intra and Inter Graphs Guided by Prior Knowledge for Hand-Object Interaction Scenario arXiv:2403.01733
Pose EstimationonDexYCB
Procrustes-Aligned MPJPE· 2024-03-04
5.6
best: 6.99 (METRO)
3D Hand Reconstruction via Aggregating Intra and Inter Graphs Guided by Prior Knowledge for Hand-Object Interaction Scenario arXiv:2403.01733
3D Hand Pose EstimationonHO-3D v2
PA-MPJPE (mm)· 2024-03-04
8.8
best: 12.5 (Pose2Mesh)
3D Hand Reconstruction via Aggregating Intra and Inter Graphs Guided by Prior Knowledge for Hand-Object Interaction Scenario arXiv:2403.01733
3D Hand Pose EstimationonDexYCB
Average MPJPE (mm)· 2024-03-04
13.2
best: 19 (AlignSDF)
3D Hand Reconstruction via Aggregating Intra and Inter Graphs Guided by Prior Knowledge for Hand-Object Interaction Scenario arXiv:2403.01733
3D Hand Pose EstimationonDexYCB
MPVPE· 2024-03-04
12.4
best: 13.1 (HandOccNet)
3D Hand Reconstruction via Aggregating Intra and Inter Graphs Guided by Prior Knowledge for Hand-Object Interaction Scenario arXiv:2403.01733
3D Hand Pose EstimationonDexYCB
PA-MPVPE· 2024-03-04
5.4
best: 5.6 (MobRecon)
3D Hand Reconstruction via Aggregating Intra and Inter Graphs Guided by Prior Knowledge for Hand-Object Interaction Scenario arXiv:2403.01733
3D Hand Pose EstimationonDexYCB
Procrustes-Aligned MPJPE· 2024-03-04
5.6
best: 6.99 (METRO)
3D Hand Reconstruction via Aggregating Intra and Inter Graphs Guided by Prior Knowledge for Hand-Object Interaction Scenario arXiv:2403.01733
3D Human Pose EstimationonHuman3.6M
Average MPJPE (mm)· 2019-04-06
57.6
best: 131.7 (Rhodin et al.)
Semantic Graph Convolutional Networks for 3D Human Pose Regression arXiv:1904.03345
3D Human Pose EstimationonHuman3.6M
Average MPJPE (mm)· 2019-04-06
57.6
best: 131.7 (Rhodin et al.)
Semantic Graph Convolutional Networks for 3D Human Pose Regression arXiv:1904.03345
3D Human Pose EstimationonHuman3.6M
Frames Needed· 2019-04-06
1
best: 300 (Sparseness Meets Deepness)
Semantic Graph Convolutional Networks for 3D Human Pose Regression arXiv:1904.03345
Pose EstimationonHuman3.6M
Average MPJPE (mm)· 2019-04-06
57.6
best: 131.7 (Rhodin et al.)
Semantic Graph Convolutional Networks for 3D Human Pose Regression arXiv:1904.03345
Pose EstimationonHuman3.6M
Average MPJPE (mm)· 2019-04-06
57.6
best: 131.7 (Rhodin et al.)
Semantic Graph Convolutional Networks for 3D Human Pose Regression arXiv:1904.03345
Pose EstimationonHuman3.6M
Frames Needed· 2019-04-06
1
best: 300 (Sparseness Meets Deepness)
Semantic Graph Convolutional Networks for 3D Human Pose Regression arXiv:1904.03345

Methodology8 results

3DonHO-3D v2
PA-MPJPE (mm)· 2024-03-04
8.8
best: 12.5 (Pose2Mesh)
3D Hand Reconstruction via Aggregating Intra and Inter Graphs Guided by Prior Knowledge for Hand-Object Interaction Scenario arXiv:2403.01733
3DonDexYCB
Average MPJPE (mm)· 2024-03-04
13.2
best: 19 (AlignSDF)
3D Hand Reconstruction via Aggregating Intra and Inter Graphs Guided by Prior Knowledge for Hand-Object Interaction Scenario arXiv:2403.01733
3DonDexYCB
MPVPE· 2024-03-04
12.4
best: 13.1 (HandOccNet)
3D Hand Reconstruction via Aggregating Intra and Inter Graphs Guided by Prior Knowledge for Hand-Object Interaction Scenario arXiv:2403.01733
3DonDexYCB
PA-MPVPE· 2024-03-04
5.4
best: 5.6 (MobRecon)
3D Hand Reconstruction via Aggregating Intra and Inter Graphs Guided by Prior Knowledge for Hand-Object Interaction Scenario arXiv:2403.01733
3DonDexYCB
Procrustes-Aligned MPJPE· 2024-03-04
5.6
best: 6.99 (METRO)
3D Hand Reconstruction via Aggregating Intra and Inter Graphs Guided by Prior Knowledge for Hand-Object Interaction Scenario arXiv:2403.01733
3DonHuman3.6M
Average MPJPE (mm)· 2019-04-06
57.6
best: 131.7 (Rhodin et al.)
Semantic Graph Convolutional Networks for 3D Human Pose Regression arXiv:1904.03345
3DonHuman3.6M
Average MPJPE (mm)· 2019-04-06
57.6
best: 131.7 (Rhodin et al.)
Semantic Graph Convolutional Networks for 3D Human Pose Regression arXiv:1904.03345
3DonHuman3.6M
Frames Needed· 2019-04-06
1
best: 300 (Sparseness Meets Deepness)
Semantic Graph Convolutional Networks for 3D Human Pose Regression arXiv:1904.03345

Audio8 results

1 Image, 2*2 StitchionHO-3D v2
PA-MPJPE (mm)· 2024-03-04
8.8
best: 12.5 (Pose2Mesh)
3D Hand Reconstruction via Aggregating Intra and Inter Graphs Guided by Prior Knowledge for Hand-Object Interaction Scenario arXiv:2403.01733
1 Image, 2*2 StitchionDexYCB
Average MPJPE (mm)· 2024-03-04
13.2
best: 19 (AlignSDF)
3D Hand Reconstruction via Aggregating Intra and Inter Graphs Guided by Prior Knowledge for Hand-Object Interaction Scenario arXiv:2403.01733
1 Image, 2*2 StitchionDexYCB
MPVPE· 2024-03-04
12.4
best: 13.1 (HandOccNet)
3D Hand Reconstruction via Aggregating Intra and Inter Graphs Guided by Prior Knowledge for Hand-Object Interaction Scenario arXiv:2403.01733
1 Image, 2*2 StitchionDexYCB
PA-MPVPE· 2024-03-04
5.4
best: 5.6 (MobRecon)
3D Hand Reconstruction via Aggregating Intra and Inter Graphs Guided by Prior Knowledge for Hand-Object Interaction Scenario arXiv:2403.01733
1 Image, 2*2 StitchionDexYCB
Procrustes-Aligned MPJPE· 2024-03-04
5.6
best: 6.99 (METRO)
3D Hand Reconstruction via Aggregating Intra and Inter Graphs Guided by Prior Knowledge for Hand-Object Interaction Scenario arXiv:2403.01733
1 Image, 2*2 StitchionHuman3.6M
Average MPJPE (mm)· 2019-04-06
57.6
best: 131.7 (Rhodin et al.)
Semantic Graph Convolutional Networks for 3D Human Pose Regression arXiv:1904.03345
1 Image, 2*2 StitchionHuman3.6M
Average MPJPE (mm)· 2019-04-06
57.6
best: 131.7 (Rhodin et al.)
Semantic Graph Convolutional Networks for 3D Human Pose Regression arXiv:1904.03345
1 Image, 2*2 StitchionHuman3.6M
Frames Needed· 2019-04-06
1
best: 300 (Sparseness Meets Deepness)
Semantic Graph Convolutional Networks for 3D Human Pose Regression arXiv:1904.03345

Graphs5 results

Hand Pose EstimationonHO-3D v2
PA-MPJPE (mm)· 2024-03-04
8.8
best: 12.5 (Pose2Mesh)
3D Hand Reconstruction via Aggregating Intra and Inter Graphs Guided by Prior Knowledge for Hand-Object Interaction Scenario arXiv:2403.01733
Hand Pose EstimationonDexYCB
Average MPJPE (mm)· 2024-03-04
13.2
best: 19 (AlignSDF)
3D Hand Reconstruction via Aggregating Intra and Inter Graphs Guided by Prior Knowledge for Hand-Object Interaction Scenario arXiv:2403.01733
Hand Pose EstimationonDexYCB
MPVPE· 2024-03-04
12.4
best: 13.1 (HandOccNet)
3D Hand Reconstruction via Aggregating Intra and Inter Graphs Guided by Prior Knowledge for Hand-Object Interaction Scenario arXiv:2403.01733
Hand Pose EstimationonDexYCB
PA-MPVPE· 2024-03-04
5.4
best: 5.6 (MobRecon)
3D Hand Reconstruction via Aggregating Intra and Inter Graphs Guided by Prior Knowledge for Hand-Object Interaction Scenario arXiv:2403.01733
Hand Pose EstimationonDexYCB
Procrustes-Aligned MPJPE· 2024-03-04
5.6
best: 6.99 (METRO)
3D Hand Reconstruction via Aggregating Intra and Inter Graphs Guided by Prior Knowledge for Hand-Object Interaction Scenario arXiv:2403.01733