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Models/SHM

SHM

Reported on 35 benchmarks across 4 tasks · 1 paper · 11 SOTA

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

Computer Vision19 results

  • Image MattingonAM-2K
    MAD· 2018-09-05
    0.0102
    best: 0.0356 (SHMC)
    SOTA
    Semantic Human MattingarXiv:1809.01354
  • Image MattingonAM-2K
    MSE· 2018-09-05
    0.0068
    best: 0.0024 (StyleMatte)
    SOTA
    Semantic Human MattingarXiv:1809.01354
  • Image MattingonAM-2K
    SAD· 2018-09-05
    17.81
    best: 61.5 (SHMC)
    SOTA
    Semantic Human MattingarXiv:1809.01354
  • Image MattingonP3M-10k
    MAD· 2018-09-05
    0.0125
    best: 0.025 (LF)
    SOTA
    Semantic Human MattingarXiv:1809.01354
  • Image MattingonP3M-10k
    MSE· 2018-09-05
    0.01
    best: 0.0015 (P3M-Net (v))
    SOTA
    Semantic Human MattingarXiv:1809.01354
  • Image MattingonP3M-10k
    SAD· 2018-09-05
    21.56
    best: 42.95 (LF)
    SOTA
    Semantic Human MattingarXiv:1809.01354
  • Image MattingonAIM-500
    Conn.· 2018-09-05
    170.67
    best: 181.26 (LF)
    SOTA
    Semantic Human MattingarXiv:1809.01354
  • Image MattingonAIM-500
    Grad.· 2018-09-05
    115.29
    SOTA
    Semantic Human MattingarXiv:1809.01354
  • Image MattingonAIM-500
    MAD· 2018-09-05
    0.1012
    best: 0.113 (LF)
    SOTA
    Semantic Human MattingarXiv:1809.01354
  • Image MattingonAIM-500
    MSE· 2018-09-05
    0.0921
    best: 0.0033 (DiffMatte)
    SOTA
    Semantic Human MattingarXiv:1809.01354
  • Image MattingonAIM-500
    SAD· 2018-09-05
    170.44
    best: 191.74 (LF)
    SOTA
    Semantic Human MattingarXiv:1809.01354
  • Motion ForecastingonArgoverse CVPR 2020
    DAC (K=6)
    0.9637
    best: 0.9931 (lt_cont_k6)
  • Motion ForecastingonArgoverse CVPR 2020
    MR (K=1)
    0.8705
    best: 1 (jwlhs104)
  • Motion ForecastingonArgoverse CVPR 2020
    MR (K=6)
    0.5423
    best: 0.9893 (WST)
  • Motion ForecastingonArgoverse CVPR 2020
    brier-minFDE (K=6)
    4.255
    best: 26.4057 (WST)
  • Motion ForecastingonArgoverse CVPR 2020
    minADE (K=1)
    3.7408
    best: 10634487.5868 (ewta)
  • Motion ForecastingonArgoverse CVPR 2020
    minADE (K=6)
    1.7691
    best: 155985.7998 (ewta)
  • Motion ForecastingonArgoverse CVPR 2020
    minFDE (K=1)
    8.3529
    best: 57.7046 (jwlhs104)
  • Motion ForecastingonArgoverse CVPR 2020
    minFDE (K=6)
    3.5606
    best: 25.7113 (WST)

Robots16 results

  • Autonomous VehiclesonArgoverse CVPR 2020
    DAC (K=6)
    0.9637
    best: 0.9931 (lt_cont_k6)
  • Autonomous VehiclesonArgoverse CVPR 2020
    MR (K=1)
    0.8705
    best: 1 (jwlhs104)
  • Autonomous VehiclesonArgoverse CVPR 2020
    MR (K=6)
    0.5423
    best: 0.9893 (WST)
  • Autonomous VehiclesonArgoverse CVPR 2020
    brier-minFDE (K=6)
    4.255
    best: 26.4057 (WST)
  • Autonomous VehiclesonArgoverse CVPR 2020
    minADE (K=1)
    3.7408
    best: 10634487.5868 (ewta)
  • Autonomous VehiclesonArgoverse CVPR 2020
    minADE (K=6)
    1.7691
    best: 155985.7998 (ewta)
  • Autonomous VehiclesonArgoverse CVPR 2020
    minFDE (K=1)
    8.3529
    best: 57.7046 (jwlhs104)
  • Autonomous VehiclesonArgoverse CVPR 2020
    minFDE (K=6)
    3.5606
    best: 25.7113 (WST)
  • Autonomous DrivingonArgoverse CVPR 2020
    DAC (K=6)
    0.9637
    best: 0.9931 (lt_cont_k6)
  • Autonomous DrivingonArgoverse CVPR 2020
    MR (K=1)
    0.8705
    best: 1 (jwlhs104)
  • Autonomous DrivingonArgoverse CVPR 2020
    MR (K=6)
    0.5423
    best: 0.9893 (WST)
  • Autonomous DrivingonArgoverse CVPR 2020
    brier-minFDE (K=6)
    4.255
    best: 26.4057 (WST)
  • Autonomous DrivingonArgoverse CVPR 2020
    minADE (K=1)
    3.7408
    best: 10634487.5868 (ewta)
  • Autonomous DrivingonArgoverse CVPR 2020
    minADE (K=6)
    1.7691
    best: 155985.7998 (ewta)
  • Autonomous DrivingonArgoverse CVPR 2020
    minFDE (K=1)
    8.3529
    best: 57.7046 (jwlhs104)
  • Autonomous DrivingonArgoverse CVPR 2020
    minFDE (K=6)
    3.5606
    best: 25.7113 (WST)