HandAugment

Reported on 5 benchmarks across 5 tasks · 1 paper · 5 SOTA

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

Computer Vision2 results

HandonHANDS 2019
Average 3D Error· 2020-01-03
13.66
best: 12.51 (Ours-15views)
SOTA
HandAugment: A Simple Data Augmentation Method for Depth-Based 3D Hand Pose Estimation arXiv:2001.00702
Pose EstimationonHANDS 2019
Average 3D Error· 2020-01-03
13.66
best: 12.51 (Ours-15views)
SOTA
HandAugment: A Simple Data Augmentation Method for Depth-Based 3D Hand Pose Estimation arXiv:2001.00702

Graphs1 result

Hand Pose EstimationonHANDS 2019
Average 3D Error· 2020-01-03
13.66
best: 12.51 (Ours-15views)
SOTA
HandAugment: A Simple Data Augmentation Method for Depth-Based 3D Hand Pose Estimation arXiv:2001.00702

Methodology1 result

3DonHANDS 2019
Average 3D Error· 2020-01-03
13.66
best: 12.51 (Ours-15views)
SOTA
HandAugment: A Simple Data Augmentation Method for Depth-Based 3D Hand Pose Estimation arXiv:2001.00702

Audio1 result

1 Image, 2*2 StitchionHANDS 2019
Average 3D Error· 2020-01-03
13.66
best: 12.51 (Ours-15views)
SOTA
HandAugment: A Simple Data Augmentation Method for Depth-Based 3D Hand Pose Estimation arXiv:2001.00702