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Models/HMO

HMO

Reported on 21 benchmarks across 7 tasks · 1 paper · 21 SOTA

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

Computer Vision12 results

HandonHO-3D v2
PA-MPJPE· 2019-04-11
11
best: 12 (HOR)
SOTA
Learning joint reconstruction of hands and manipulated objects arXiv:1904.05767
HandonHO-3D v2
ST-MPJPE· 2019-04-11
31.8
best: 36.9 (PCTHO)
SOTA
Learning joint reconstruction of hands and manipulated objects arXiv:1904.05767
HandonDexYCB
Average MPJPE (mm)· 2019-04-11
17.6
best: 19 (AlignSDF)
SOTA
Learning joint reconstruction of hands and manipulated objects arXiv:1904.05767
Pose EstimationonHO-3D v2
PA-MPJPE· 2019-04-11
11
best: 12 (HOR)
SOTA
Learning joint reconstruction of hands and manipulated objects arXiv:1904.05767
Pose EstimationonHO-3D v2
ST-MPJPE· 2019-04-11
31.8
best: 36.9 (PCTHO)
SOTA
Learning joint reconstruction of hands and manipulated objects arXiv:1904.05767
Pose EstimationonDexYCB
Average MPJPE (mm)· 2019-04-11
17.6
best: 19 (AlignSDF)
SOTA
Learning joint reconstruction of hands and manipulated objects arXiv:1904.05767
3D Hand Pose EstimationonHO-3D v2
PA-MPJPE· 2019-04-11
11
best: 12 (HOR)
SOTA
Learning joint reconstruction of hands and manipulated objects arXiv:1904.05767
3D Hand Pose EstimationonHO-3D v2
ST-MPJPE· 2019-04-11
31.8
best: 36.9 (PCTHO)
SOTA
Learning joint reconstruction of hands and manipulated objects arXiv:1904.05767
3D Hand Pose EstimationonDexYCB
Average MPJPE (mm)· 2019-04-11
17.6
best: 19 (AlignSDF)
SOTA
Learning joint reconstruction of hands and manipulated objects arXiv:1904.05767
6D Pose EstimationonHO-3D v2
PA-MPJPE· 2019-04-11
11
best: 12 (HOR)
SOTA
Learning joint reconstruction of hands and manipulated objects arXiv:1904.05767
6D Pose EstimationonHO-3D v2
ST-MPJPE· 2019-04-11
31.8
best: 36.9 (PCTHO)
SOTA
Learning joint reconstruction of hands and manipulated objects arXiv:1904.05767
6D Pose EstimationonDexYCB
Average MPJPE (mm)· 2019-04-11
17.6
best: 19 (AlignSDF)
SOTA
Learning joint reconstruction of hands and manipulated objects arXiv:1904.05767

Graphs3 results

Hand Pose EstimationonHO-3D v2
PA-MPJPE· 2019-04-11
11
best: 12 (HOR)
SOTA
Learning joint reconstruction of hands and manipulated objects arXiv:1904.05767
Hand Pose EstimationonHO-3D v2
ST-MPJPE· 2019-04-11
31.8
best: 36.9 (PCTHO)
SOTA
Learning joint reconstruction of hands and manipulated objects arXiv:1904.05767
Hand Pose EstimationonDexYCB
Average MPJPE (mm)· 2019-04-11
17.6
best: 19 (AlignSDF)
SOTA
Learning joint reconstruction of hands and manipulated objects arXiv:1904.05767

Methodology3 results

3DonHO-3D v2
PA-MPJPE· 2019-04-11
11
best: 12 (HOR)
SOTA
Learning joint reconstruction of hands and manipulated objects arXiv:1904.05767
3DonHO-3D v2
ST-MPJPE· 2019-04-11
31.8
best: 36.9 (PCTHO)
SOTA
Learning joint reconstruction of hands and manipulated objects arXiv:1904.05767
3DonDexYCB
Average MPJPE (mm)· 2019-04-11
17.6
best: 19 (AlignSDF)
SOTA
Learning joint reconstruction of hands and manipulated objects arXiv:1904.05767

Audio3 results

1 Image, 2*2 StitchionHO-3D v2
PA-MPJPE· 2019-04-11
11
best: 12 (HOR)
SOTA
Learning joint reconstruction of hands and manipulated objects arXiv:1904.05767
1 Image, 2*2 StitchionHO-3D v2
ST-MPJPE· 2019-04-11
31.8
best: 36.9 (PCTHO)
SOTA
Learning joint reconstruction of hands and manipulated objects arXiv:1904.05767
1 Image, 2*2 StitchionDexYCB
Average MPJPE (mm)· 2019-04-11
17.6
best: 19 (AlignSDF)
SOTA
Learning joint reconstruction of hands and manipulated objects arXiv:1904.05767