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Models/MWR

MWR

Reported on 48 benchmarks across 7 tasks · 1 paper · 30 SOTA

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

Computer Vision23 results

  • Face ReconstructiononMORPH album2 (Caucasian)
    MAE· 2022-03-24
    2.13
    SOTA
    Moving Window Regression: A Novel Approach to Ordinal RegressionarXiv:2203.13122
  • Face ReconstructiononUTKFace
    MAE· 2022-03-24
    4.37
    best: 3.7 (MiVOLO-D1)
    SOTA
    Moving Window Regression: A Novel Approach to Ordinal RegressionarXiv:2203.13122
  • Face ReconstructiononFGNET
    MAE· 2022-03-24
    2.23
    SOTA
    Moving Window Regression: A Novel Approach to Ordinal RegressionarXiv:2203.13122
  • Face ReconstructiononCACD
    MAE· 2022-03-24
    4.41
    best: 3.89 (MiVOLO-V2)
    SOTA
    Moving Window Regression: A Novel Approach to Ordinal RegressionarXiv:2203.13122
  • Face ReconstructiononMORPH Album2
    CS· uses extra data· 2022-03-24
    95
    SOTA
    Moving Window Regression: A Novel Approach to Ordinal RegressionarXiv:2203.13122
  • 3D Face ReconstructiononMORPH album2 (Caucasian)
    MAE· 2022-03-24
    2.13
    SOTA
    Moving Window Regression: A Novel Approach to Ordinal RegressionarXiv:2203.13122
  • 3D Face ReconstructiononUTKFace
    MAE· 2022-03-24
    4.37
    best: 3.7 (MiVOLO-D1)
    SOTA
    Moving Window Regression: A Novel Approach to Ordinal RegressionarXiv:2203.13122
  • 3D Face ReconstructiononFGNET
    MAE· 2022-03-24
    2.23
    SOTA
    Moving Window Regression: A Novel Approach to Ordinal RegressionarXiv:2203.13122
  • 3D Face ReconstructiononCACD
    MAE· 2022-03-24
    4.41
    best: 3.89 (MiVOLO-V2)
    SOTA
    Moving Window Regression: A Novel Approach to Ordinal RegressionarXiv:2203.13122
  • 3D Face ReconstructiononMORPH Album2
    CS· uses extra data· 2022-03-24
    95
    SOTA
    Moving Window Regression: A Novel Approach to Ordinal RegressionarXiv:2203.13122
  • Age EstimationonMORPH album2 (Caucasian)
    MAE· 2022-03-24
    2.13
    SOTA
    Moving Window Regression: A Novel Approach to Ordinal RegressionarXiv:2203.13122
  • Age EstimationonUTKFace
    MAE· 2022-03-24
    4.37
    best: 3.7 (MiVOLO-D1)
    SOTA
    Moving Window Regression: A Novel Approach to Ordinal RegressionarXiv:2203.13122
  • Age EstimationonFGNET
    MAE· 2022-03-24
    2.23
    SOTA
    Moving Window Regression: A Novel Approach to Ordinal RegressionarXiv:2203.13122
  • Age EstimationonCACD
    MAE· 2022-03-24
    4.41
    best: 3.89 (MiVOLO-V2)
    SOTA
    Moving Window Regression: A Novel Approach to Ordinal RegressionarXiv:2203.13122
  • Age EstimationonMORPH Album2
    CS· uses extra data· 2022-03-24
    95
    SOTA
    Moving Window Regression: A Novel Approach to Ordinal RegressionarXiv:2203.13122
  • Face ReconstructiononChaLearn 2015
    MAE· 2022-03-24
    2.95
    best: 2.83 (MetaAge)
    Moving Window Regression: A Novel Approach to Ordinal RegressionarXiv:2203.13122
  • Face ReconstructiononMORPH Album2
    MAE· uses extra data· 2022-03-24
    2
    best: 1.13 (Hierarchical Attention-based Age Estimation (RS))
    Moving Window Regression: A Novel Approach to Ordinal RegressionarXiv:2203.13122
  • Face ReconstructiononAdience Age
    Accuracy (5-fold)· 2022-03-24
    62.6
    best: 84.91 (ViT-hSeq)
    Moving Window Regression: A Novel Approach to Ordinal RegressionarXiv:2203.13122
  • 3D Face ReconstructiononChaLearn 2015
    MAE· 2022-03-24
    2.95
    best: 2.83 (MetaAge)
    Moving Window Regression: A Novel Approach to Ordinal RegressionarXiv:2203.13122
  • 3D Face ReconstructiononMORPH Album2
    MAE· uses extra data· 2022-03-24
    2
    best: 1.13 (Hierarchical Attention-based Age Estimation (RS))
    Moving Window Regression: A Novel Approach to Ordinal RegressionarXiv:2203.13122
  • 3D Face ReconstructiononAdience Age
    Accuracy (5-fold)· 2022-03-24
    62.6
    best: 84.91 (ViT-hSeq)
    Moving Window Regression: A Novel Approach to Ordinal RegressionarXiv:2203.13122
  • Age EstimationonChaLearn 2015
    MAE· 2022-03-24
    2.95
    best: 2.83 (MetaAge)
    Moving Window Regression: A Novel Approach to Ordinal RegressionarXiv:2203.13122
  • Age EstimationonMORPH Album2
    MAE· uses extra data· 2022-03-24
    2
    best: 1.13 (Hierarchical Attention-based Age Estimation (RS))
    Moving Window Regression: A Novel Approach to Ordinal RegressionarXiv:2203.13122

Music8 results

  • Facial Recognition and ModellingonMORPH album2 (Caucasian)
    MAE· 2022-03-24
    2.13
    SOTA
    Moving Window Regression: A Novel Approach to Ordinal RegressionarXiv:2203.13122
  • Facial Recognition and ModellingonUTKFace
    MAE· 2022-03-24
    4.37
    best: 3.7 (MiVOLO-D1)
    SOTA
    Moving Window Regression: A Novel Approach to Ordinal RegressionarXiv:2203.13122
  • Facial Recognition and ModellingonFGNET
    MAE· 2022-03-24
    2.23
    SOTA
    Moving Window Regression: A Novel Approach to Ordinal RegressionarXiv:2203.13122
  • Facial Recognition and ModellingonCACD
    MAE· 2022-03-24
    4.41
    best: 3.89 (MiVOLO-V2)
    SOTA
    Moving Window Regression: A Novel Approach to Ordinal RegressionarXiv:2203.13122
  • Facial Recognition and ModellingonMORPH Album2
    CS· uses extra data· 2022-03-24
    95
    SOTA
    Moving Window Regression: A Novel Approach to Ordinal RegressionarXiv:2203.13122
  • Facial Recognition and ModellingonChaLearn 2015
    MAE· 2022-03-24
    2.95
    best: 2.83 (MetaAge)
    Moving Window Regression: A Novel Approach to Ordinal RegressionarXiv:2203.13122
  • Facial Recognition and ModellingonMORPH Album2
    MAE· uses extra data· 2022-03-24
    2
    best: 1.13 (Hierarchical Attention-based Age Estimation (RS))
    Moving Window Regression: A Novel Approach to Ordinal RegressionarXiv:2203.13122
  • Facial Recognition and ModellingonAdience Age
    Accuracy (5-fold)· 2022-03-24
    62.6
    best: 84.91 (ViT-hSeq)
    Moving Window Regression: A Novel Approach to Ordinal RegressionarXiv:2203.13122

Methodology8 results

  • 3DonMORPH album2 (Caucasian)
    MAE· 2022-03-24
    2.13
    SOTA
    Moving Window Regression: A Novel Approach to Ordinal RegressionarXiv:2203.13122
  • 3DonUTKFace
    MAE· 2022-03-24
    4.37
    best: 3.7 (MiVOLO-D1)
    SOTA
    Moving Window Regression: A Novel Approach to Ordinal RegressionarXiv:2203.13122
  • 3DonFGNET
    MAE· 2022-03-24
    2.23
    SOTA
    Moving Window Regression: A Novel Approach to Ordinal RegressionarXiv:2203.13122
  • 3DonCACD
    MAE· 2022-03-24
    4.41
    best: 3.89 (MiVOLO-V2)
    SOTA
    Moving Window Regression: A Novel Approach to Ordinal RegressionarXiv:2203.13122
  • 3DonMORPH Album2
    CS· uses extra data· 2022-03-24
    95
    SOTA
    Moving Window Regression: A Novel Approach to Ordinal RegressionarXiv:2203.13122
  • 3DonChaLearn 2015
    MAE· 2022-03-24
    2.95
    best: 2.83 (MetaAge)
    Moving Window Regression: A Novel Approach to Ordinal RegressionarXiv:2203.13122
  • 3DonMORPH Album2
    MAE· uses extra data· 2022-03-24
    2
    best: 1.13 (Hierarchical Attention-based Age Estimation (RS))
    Moving Window Regression: A Novel Approach to Ordinal RegressionarXiv:2203.13122
  • 3DonAdience Age
    Accuracy (5-fold)· 2022-03-24
    62.6
    best: 84.91 (ViT-hSeq)
    Moving Window Regression: A Novel Approach to Ordinal RegressionarXiv:2203.13122

Medical8 results

  • 3D Face ModellingonMORPH album2 (Caucasian)
    MAE· 2022-03-24
    2.13
    SOTA
    Moving Window Regression: A Novel Approach to Ordinal RegressionarXiv:2203.13122
  • 3D Face ModellingonUTKFace
    MAE· 2022-03-24
    4.37
    best: 3.7 (MiVOLO-D1)
    SOTA
    Moving Window Regression: A Novel Approach to Ordinal RegressionarXiv:2203.13122
  • 3D Face ModellingonFGNET
    MAE· 2022-03-24
    2.23
    SOTA
    Moving Window Regression: A Novel Approach to Ordinal RegressionarXiv:2203.13122
  • 3D Face ModellingonCACD
    MAE· 2022-03-24
    4.41
    best: 3.89 (MiVOLO-V2)
    SOTA
    Moving Window Regression: A Novel Approach to Ordinal RegressionarXiv:2203.13122
  • 3D Face ModellingonMORPH Album2
    CS· uses extra data· 2022-03-24
    95
    SOTA
    Moving Window Regression: A Novel Approach to Ordinal RegressionarXiv:2203.13122
  • 3D Face ModellingonChaLearn 2015
    MAE· 2022-03-24
    2.95
    best: 2.83 (MetaAge)
    Moving Window Regression: A Novel Approach to Ordinal RegressionarXiv:2203.13122
  • 3D Face ModellingonMORPH Album2
    MAE· uses extra data· 2022-03-24
    2
    best: 1.13 (Hierarchical Attention-based Age Estimation (RS))
    Moving Window Regression: A Novel Approach to Ordinal RegressionarXiv:2203.13122
  • 3D Face ModellingonAdience Age
    Accuracy (5-fold)· 2022-03-24
    62.6
    best: 84.91 (ViT-hSeq)
    Moving Window Regression: A Novel Approach to Ordinal RegressionarXiv:2203.13122

Natural Language Processing1 result

  • Age And Gender ClassificationonAdience Age
    Accuracy (5-fold)· 2022-03-24
    62.6
    best: 84.91 (ViT-hSeq)
    Moving Window Regression: A Novel Approach to Ordinal RegressionarXiv:2203.13122