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Models/SRNET

SRNET

Reported on 16 benchmarks across 4 tasks · 1 paper

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

Computer Vision8 results

3D Human Pose EstimationonMPI-INF-3DHP
AUC· 2020-07-18
43.8
best: 87.7 (TCPFormer (T=81))
SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approach arXiv:2007.09389
3D Human Pose EstimationonMPI-INF-3DHP
PCK· 2020-07-18
77.6
best: 99.37 (LMT R152 384x384)
SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approach arXiv:2007.09389
3D Human Pose EstimationonHuman3.6M
Average MPJPE (mm)· 2020-07-18
49.9
best: 131.7 (Rhodin et al.)
SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approach arXiv:2007.09389
3D Human Pose EstimationonHuman3.6M
Frames Needed· 2020-07-18
1
best: 300 (Sparseness Meets Deepness)
SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approach arXiv:2007.09389
Pose EstimationonMPI-INF-3DHP
AUC· 2020-07-18
43.8
best: 87.7 (TCPFormer (T=81))
SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approach arXiv:2007.09389
Pose EstimationonMPI-INF-3DHP
PCK· 2020-07-18
77.6
best: 99.37 (LMT R152 384x384)
SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approach arXiv:2007.09389
Pose EstimationonHuman3.6M
Average MPJPE (mm)· 2020-07-18
49.9
best: 131.7 (Rhodin et al.)
SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approach arXiv:2007.09389
Pose EstimationonHuman3.6M
Frames Needed· 2020-07-18
1
best: 300 (Sparseness Meets Deepness)
SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approach arXiv:2007.09389

Methodology4 results

3DonMPI-INF-3DHP
AUC· 2020-07-18
43.8
best: 87.7 (TCPFormer (T=81))
SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approach arXiv:2007.09389
3DonMPI-INF-3DHP
PCK· 2020-07-18
77.6
best: 99.37 (LMT R152 384x384)
SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approach arXiv:2007.09389
3DonHuman3.6M
Average MPJPE (mm)· 2020-07-18
49.9
best: 131.7 (Rhodin et al.)
SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approach arXiv:2007.09389
3DonHuman3.6M
Frames Needed· 2020-07-18
1
best: 300 (Sparseness Meets Deepness)
SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approach arXiv:2007.09389

Audio4 results

1 Image, 2*2 StitchionMPI-INF-3DHP
AUC· 2020-07-18
43.8
best: 87.7 (TCPFormer (T=81))
SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approach arXiv:2007.09389
1 Image, 2*2 StitchionMPI-INF-3DHP
PCK· 2020-07-18
77.6
best: 99.37 (LMT R152 384x384)
SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approach arXiv:2007.09389
1 Image, 2*2 StitchionHuman3.6M
Average MPJPE (mm)· 2020-07-18
49.9
best: 131.7 (Rhodin et al.)
SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approach arXiv:2007.09389
1 Image, 2*2 StitchionHuman3.6M
Frames Needed· 2020-07-18
1
best: 300 (Sparseness Meets Deepness)
SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approach arXiv:2007.09389