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Models/Spatio-Temporal Network (T=128)

Spatio-Temporal Network (T=128)

Reported on 24 benchmarks across 4 tasks · 1 paper · 4 SOTA

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

Computer Vision16 results

  • 3D Human Pose EstimationonHumanEva-I
    Mean Reconstruction Error (mm)· 2020-04-07
    13.5
    best: 9.2 (GLA-GCN (T=27, GT))
    SOTA
    3D Human Pose Estimation using Spatio-Temporal Networks with Explicit Occlusion TrainingarXiv:2004.11822
  • Pose EstimationonHumanEva-I
    Mean Reconstruction Error (mm)· 2020-04-07
    13.5
    best: 9.2 (GLA-GCN (T=27, GT))
    SOTA
    3D Human Pose Estimation using Spatio-Temporal Networks with Explicit Occlusion TrainingarXiv:2004.11822
  • 3D Human Pose EstimationonMPI-INF-3DHP
    PCK· 2020-04-07
    84.1
    best: 99.37 (LMT R152 384x384)
    3D Human Pose Estimation using Spatio-Temporal Networks with Explicit Occlusion TrainingarXiv:2004.11822
  • 3D Human Pose Estimationon3DPW
    PA-MPJPE· 2020-04-07
    71.8
    best: 157 (Simple-baseline)
    3D Human Pose Estimation using Spatio-Temporal Networks with Explicit Occlusion TrainingarXiv:2004.11822
  • 3D Human Pose EstimationonHuman3.6M
    Average MPJPE (mm)· 2020-04-07
    40.1
    best: 131.7 (Rhodin et al.)
    3D Human Pose Estimation using Spatio-Temporal Networks with Explicit Occlusion TrainingarXiv:2004.11822
  • 3D Human Pose EstimationonHuman3.6M
    PA-MPJPE· 2020-04-07
    30.7
    best: 80.7 (SMPLify (dense))
    3D Human Pose Estimation using Spatio-Temporal Networks with Explicit Occlusion TrainingarXiv:2004.11822
  • 3D Human Pose EstimationonHuman3.6M
    Average MPJPE (mm)· 2020-04-07
    40.1
    best: 131.7 (Rhodin et al.)
    3D Human Pose Estimation using Spatio-Temporal Networks with Explicit Occlusion TrainingarXiv:2004.11822
  • 3D Human Pose EstimationonHuman3.6M
    Frames Needed· 2020-04-07
    128
    best: 300 (Sparseness Meets Deepness)
    3D Human Pose Estimation using Spatio-Temporal Networks with Explicit Occlusion TrainingarXiv:2004.11822
  • 3D Human Pose EstimationonHuman3.6M
    PA-MPJPE· 2020-04-07
    30.7
    best: 80.7 (SMPLify (dense))
    3D Human Pose Estimation using Spatio-Temporal Networks with Explicit Occlusion TrainingarXiv:2004.11822
  • Pose EstimationonMPI-INF-3DHP
    PCK· 2020-04-07
    84.1
    best: 99.37 (LMT R152 384x384)
    3D Human Pose Estimation using Spatio-Temporal Networks with Explicit Occlusion TrainingarXiv:2004.11822
  • Pose Estimationon3DPW
    PA-MPJPE· 2020-04-07
    71.8
    best: 157 (Simple-baseline)
    3D Human Pose Estimation using Spatio-Temporal Networks with Explicit Occlusion TrainingarXiv:2004.11822
  • Pose EstimationonHuman3.6M
    Average MPJPE (mm)· 2020-04-07
    40.1
    best: 131.7 (Rhodin et al.)
    3D Human Pose Estimation using Spatio-Temporal Networks with Explicit Occlusion TrainingarXiv:2004.11822
  • Pose EstimationonHuman3.6M
    PA-MPJPE· 2020-04-07
    30.7
    best: 80.7 (SMPLify (dense))
    3D Human Pose Estimation using Spatio-Temporal Networks with Explicit Occlusion TrainingarXiv:2004.11822
  • Pose EstimationonHuman3.6M
    Average MPJPE (mm)· 2020-04-07
    40.1
    best: 131.7 (Rhodin et al.)
    3D Human Pose Estimation using Spatio-Temporal Networks with Explicit Occlusion TrainingarXiv:2004.11822
  • Pose EstimationonHuman3.6M
    Frames Needed· 2020-04-07
    128
    best: 300 (Sparseness Meets Deepness)
    3D Human Pose Estimation using Spatio-Temporal Networks with Explicit Occlusion TrainingarXiv:2004.11822
  • Pose EstimationonHuman3.6M
    PA-MPJPE· 2020-04-07
    30.7
    best: 80.7 (SMPLify (dense))
    3D Human Pose Estimation using Spatio-Temporal Networks with Explicit Occlusion TrainingarXiv:2004.11822

Methodology8 results

  • 3DonHumanEva-I
    Mean Reconstruction Error (mm)· 2020-04-07
    13.5
    best: 9.2 (GLA-GCN (T=27, GT))
    SOTA
    3D Human Pose Estimation using Spatio-Temporal Networks with Explicit Occlusion TrainingarXiv:2004.11822
  • 3DonMPI-INF-3DHP
    PCK· 2020-04-07
    84.1
    best: 99.37 (LMT R152 384x384)
    3D Human Pose Estimation using Spatio-Temporal Networks with Explicit Occlusion TrainingarXiv:2004.11822
  • 3Don3DPW
    PA-MPJPE· 2020-04-07
    71.8
    best: 157 (Simple-baseline)
    3D Human Pose Estimation using Spatio-Temporal Networks with Explicit Occlusion TrainingarXiv:2004.11822
  • 3DonHuman3.6M
    Average MPJPE (mm)· 2020-04-07
    40.1
    best: 131.7 (Rhodin et al.)
    3D Human Pose Estimation using Spatio-Temporal Networks with Explicit Occlusion TrainingarXiv:2004.11822
  • 3DonHuman3.6M
    PA-MPJPE· 2020-04-07
    30.7
    best: 89.4 (Kinematic-Structure-Preserved Representation)
    3D Human Pose Estimation using Spatio-Temporal Networks with Explicit Occlusion TrainingarXiv:2004.11822
  • 3DonHuman3.6M
    Average MPJPE (mm)· 2020-04-07
    40.1
    best: 131.7 (Rhodin et al.)
    3D Human Pose Estimation using Spatio-Temporal Networks with Explicit Occlusion TrainingarXiv:2004.11822
  • 3DonHuman3.6M
    Frames Needed· 2020-04-07
    128
    best: 300 (Sparseness Meets Deepness)
    3D Human Pose Estimation using Spatio-Temporal Networks with Explicit Occlusion TrainingarXiv:2004.11822
  • 3DonHuman3.6M
    PA-MPJPE· 2020-04-07
    30.7
    best: 89.4 (Kinematic-Structure-Preserved Representation)
    3D Human Pose Estimation using Spatio-Temporal Networks with Explicit Occlusion TrainingarXiv:2004.11822

Audio8 results

  • 1 Image, 2*2 StitchionHumanEva-I
    Mean Reconstruction Error (mm)· 2020-04-07
    13.5
    best: 9.2 (GLA-GCN (T=27, GT))
    SOTA
    3D Human Pose Estimation using Spatio-Temporal Networks with Explicit Occlusion TrainingarXiv:2004.11822
  • 1 Image, 2*2 StitchionMPI-INF-3DHP
    PCK· 2020-04-07
    84.1
    best: 99.37 (LMT R152 384x384)
    3D Human Pose Estimation using Spatio-Temporal Networks with Explicit Occlusion TrainingarXiv:2004.11822
  • 1 Image, 2*2 Stitchion3DPW
    PA-MPJPE· 2020-04-07
    71.8
    best: 157 (Simple-baseline)
    3D Human Pose Estimation using Spatio-Temporal Networks with Explicit Occlusion TrainingarXiv:2004.11822
  • 1 Image, 2*2 StitchionHuman3.6M
    Average MPJPE (mm)· 2020-04-07
    40.1
    best: 131.7 (Rhodin et al.)
    3D Human Pose Estimation using Spatio-Temporal Networks with Explicit Occlusion TrainingarXiv:2004.11822
  • 1 Image, 2*2 StitchionHuman3.6M
    PA-MPJPE· 2020-04-07
    30.7
    best: 80.7 (SMPLify (dense))
    3D Human Pose Estimation using Spatio-Temporal Networks with Explicit Occlusion TrainingarXiv:2004.11822
  • 1 Image, 2*2 StitchionHuman3.6M
    Average MPJPE (mm)· 2020-04-07
    40.1
    best: 131.7 (Rhodin et al.)
    3D Human Pose Estimation using Spatio-Temporal Networks with Explicit Occlusion TrainingarXiv:2004.11822
  • 1 Image, 2*2 StitchionHuman3.6M
    Frames Needed· 2020-04-07
    128
    best: 300 (Sparseness Meets Deepness)
    3D Human Pose Estimation using Spatio-Temporal Networks with Explicit Occlusion TrainingarXiv:2004.11822
  • 1 Image, 2*2 StitchionHuman3.6M
    PA-MPJPE· 2020-04-07
    30.7
    best: 80.7 (SMPLify (dense))
    3D Human Pose Estimation using Spatio-Temporal Networks with Explicit Occlusion TrainingarXiv:2004.11822