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Models/MTF-Transformer (M=0.4, T=7)

MTF-Transformer (M=0.4, T=7)

Reported on 8 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 Vision4 results

  • 3D Human Pose EstimationonHuman3.6M
    Average MPJPE (mm)· 2021-10-11
    28.5
    best: 131.7 (Rhodin et al.)
    Adaptive Multi-view and Temporal Fusing Transformer for 3D Human Pose EstimationarXiv:2110.05092
  • 3D Human Pose EstimationonTotal Capture
    Average MPJPE (mm)· 2021-10-11
    29.2
    best: 112 (ROS node wrapping)
    Adaptive Multi-view and Temporal Fusing Transformer for 3D Human Pose EstimationarXiv:2110.05092
  • Pose EstimationonHuman3.6M
    Average MPJPE (mm)· 2021-10-11
    28.5
    best: 131.7 (Rhodin et al.)
    Adaptive Multi-view and Temporal Fusing Transformer for 3D Human Pose EstimationarXiv:2110.05092
  • Pose EstimationonTotal Capture
    Average MPJPE (mm)· 2021-10-11
    29.2
    best: 112 (ROS node wrapping)
    Adaptive Multi-view and Temporal Fusing Transformer for 3D Human Pose EstimationarXiv:2110.05092

Methodology2 results

  • 3DonHuman3.6M
    Average MPJPE (mm)· 2021-10-11
    28.5
    best: 131.7 (Rhodin et al.)
    Adaptive Multi-view and Temporal Fusing Transformer for 3D Human Pose EstimationarXiv:2110.05092
  • 3DonTotal Capture
    Average MPJPE (mm)· 2021-10-11
    29.2
    best: 112 (ROS node wrapping)
    Adaptive Multi-view and Temporal Fusing Transformer for 3D Human Pose EstimationarXiv:2110.05092

Audio2 results

  • 1 Image, 2*2 StitchionHuman3.6M
    Average MPJPE (mm)· 2021-10-11
    28.5
    best: 131.7 (Rhodin et al.)
    Adaptive Multi-view and Temporal Fusing Transformer for 3D Human Pose EstimationarXiv:2110.05092
  • 1 Image, 2*2 StitchionTotal Capture
    Average MPJPE (mm)· 2021-10-11
    29.2
    best: 112 (ROS node wrapping)
    Adaptive Multi-view and Temporal Fusing Transformer for 3D Human Pose EstimationarXiv:2110.05092