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Models/Sparseness Meets Deepness

Sparseness Meets Deepness

Reported on 8 benchmarks across 4 tasks · 1 paper · 8 SOTA

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

Computer Vision4 results

  • 3D Human Pose EstimationonHuman3.6M
    Average MPJPE (mm)· 2015-11-30
    113.01
    best: 131.7 (Rhodin et al.)
    SOTA
    Sparseness Meets Deepness: 3D Human Pose Estimation from Monocular VideoarXiv:1511.09439
  • 3D Human Pose EstimationonHuman3.6M
    Frames Needed· 2015-11-30
    300
    SOTA
    Sparseness Meets Deepness: 3D Human Pose Estimation from Monocular VideoarXiv:1511.09439
  • Pose EstimationonHuman3.6M
    Average MPJPE (mm)· 2015-11-30
    113.01
    best: 131.7 (Rhodin et al.)
    SOTA
    Sparseness Meets Deepness: 3D Human Pose Estimation from Monocular VideoarXiv:1511.09439
  • Pose EstimationonHuman3.6M
    Frames Needed· 2015-11-30
    300
    SOTA
    Sparseness Meets Deepness: 3D Human Pose Estimation from Monocular VideoarXiv:1511.09439

Methodology2 results

  • 3DonHuman3.6M
    Average MPJPE (mm)· 2015-11-30
    113.01
    best: 131.7 (Rhodin et al.)
    SOTA
    Sparseness Meets Deepness: 3D Human Pose Estimation from Monocular VideoarXiv:1511.09439
  • 3DonHuman3.6M
    Frames Needed· 2015-11-30
    300
    SOTA
    Sparseness Meets Deepness: 3D Human Pose Estimation from Monocular VideoarXiv:1511.09439

Audio2 results

  • 1 Image, 2*2 StitchionHuman3.6M
    Average MPJPE (mm)· 2015-11-30
    113.01
    best: 131.7 (Rhodin et al.)
    SOTA
    Sparseness Meets Deepness: 3D Human Pose Estimation from Monocular VideoarXiv:1511.09439
  • 1 Image, 2*2 StitchionHuman3.6M
    Frames Needed· 2015-11-30
    300
    SOTA
    Sparseness Meets Deepness: 3D Human Pose Estimation from Monocular VideoarXiv:1511.09439