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Models/DRML

DRML

Reported on 20 benchmarks across 5 tasks

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

Computer Vision8 results

  • Face ReconstructiononDISFA
    Average AUC
    52.3
    best: 92.9 (Multi-dimensional Edge Feature-based AU Relation Graph (ResNet 50))
  • Face ReconstructiononDISFA
    Average F1
    26.7
    best: 72.7 (Norface)
  • Face ReconstructiononBP4D
    Average AUC
    56
    best: 83.1 (Multi-dimensional Edge Feature-based AU Relation Graph (Swin-B))
  • Face ReconstructiononBP4D
    Average F1
    48.3
    best: 67.1 (FMAE-IAT)
  • 3D Face ReconstructiononDISFA
    Average AUC
    52.3
    best: 92.9 (Multi-dimensional Edge Feature-based AU Relation Graph (ResNet 50))
  • 3D Face ReconstructiononDISFA
    Average F1
    26.7
    best: 72.7 (Norface)
  • 3D Face ReconstructiononBP4D
    Average AUC
    56
    best: 83.1 (Multi-dimensional Edge Feature-based AU Relation Graph (Swin-B))
  • 3D Face ReconstructiononBP4D
    Average F1
    48.3
    best: 67.1 (FMAE-IAT)

Music4 results

  • Facial Recognition and ModellingonDISFA
    Average AUC
    52.3
    best: 92.9 (Multi-dimensional Edge Feature-based AU Relation Graph (ResNet 50))
  • Facial Recognition and ModellingonDISFA
    Average F1
    26.7
    best: 72.7 (Norface)
  • Facial Recognition and ModellingonBP4D
    Average AUC
    56
    best: 83.1 (Multi-dimensional Edge Feature-based AU Relation Graph (Swin-B))
  • Facial Recognition and ModellingonBP4D
    Average F1
    48.3
    best: 67.1 (FMAE-IAT)

Methodology4 results

  • 3DonDISFA
    Average AUC
    52.3
    best: 92.9 (Multi-dimensional Edge Feature-based AU Relation Graph (ResNet 50))
  • 3DonDISFA
    Average F1
    26.7
    best: 72.7 (Norface)
  • 3DonBP4D
    Average AUC
    56
    best: 83.1 (Multi-dimensional Edge Feature-based AU Relation Graph (Swin-B))
  • 3DonBP4D
    Average F1
    48.3
    best: 67.1 (FMAE-IAT)

Medical4 results

  • 3D Face ModellingonDISFA
    Average AUC
    52.3
    best: 92.9 (Multi-dimensional Edge Feature-based AU Relation Graph (ResNet 50))
  • 3D Face ModellingonDISFA
    Average F1
    26.7
    best: 72.7 (Norface)
  • 3D Face ModellingonBP4D
    Average AUC
    56
    best: 83.1 (Multi-dimensional Edge Feature-based AU Relation Graph (Swin-B))
  • 3D Face ModellingonBP4D
    Average F1
    48.3
    best: 67.1 (FMAE-IAT)