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Models/BTN

BTN

Reported on 24 benchmarks across 6 tasks · 1 paper · 12 SOTA

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

Computer Vision12 results

  • Face ReconstructiononRAF-DB
    Avg. Accuracy· 2024-07-05
    87.3
    best: 87.5 (C-EXPR-NET)
    SOTA
    Batch Transformer: Look for Attention in BatcharXiv:2407.04218
  • Face ReconstructiononAffectNet
    Accuracy (8 emotion)· 2024-07-05
    64.29
    best: 68.69 (Norface)
    SOTA
    Batch Transformer: Look for Attention in BatcharXiv:2407.04218
  • Facial Expression Recognition (FER)onRAF-DB
    Avg. Accuracy· 2024-07-05
    87.3
    best: 87.5 (C-EXPR-NET)
    SOTA
    Batch Transformer: Look for Attention in BatcharXiv:2407.04218
  • Facial Expression Recognition (FER)onAffectNet
    Accuracy (8 emotion)· 2024-07-05
    64.29
    best: 68.69 (Norface)
    SOTA
    Batch Transformer: Look for Attention in BatcharXiv:2407.04218
  • 3D Face ReconstructiononRAF-DB
    Avg. Accuracy· 2024-07-05
    87.3
    best: 87.5 (C-EXPR-NET)
    SOTA
    Batch Transformer: Look for Attention in BatcharXiv:2407.04218
  • 3D Face ReconstructiononAffectNet
    Accuracy (8 emotion)· 2024-07-05
    64.29
    best: 68.69 (Norface)
    SOTA
    Batch Transformer: Look for Attention in BatcharXiv:2407.04218
  • Face ReconstructiononRAF-DB
    Overall Accuracy· 2024-07-05
    92.54
    best: 94.76 (ResEmoteNet)
    Batch Transformer: Look for Attention in BatcharXiv:2407.04218
  • Face ReconstructiononAffectNet
    Accuracy (7 emotion)· 2024-07-05
    67.6
    best: 72.93 (ResEmoteNet)
    Batch Transformer: Look for Attention in BatcharXiv:2407.04218
  • Facial Expression Recognition (FER)onRAF-DB
    Overall Accuracy· 2024-07-05
    92.54
    best: 94.76 (ResEmoteNet)
    Batch Transformer: Look for Attention in BatcharXiv:2407.04218
  • Facial Expression Recognition (FER)onAffectNet
    Accuracy (7 emotion)· 2024-07-05
    67.6
    best: 72.93 (ResEmoteNet)
    Batch Transformer: Look for Attention in BatcharXiv:2407.04218
  • 3D Face ReconstructiononRAF-DB
    Overall Accuracy· 2024-07-05
    92.54
    best: 94.76 (ResEmoteNet)
    Batch Transformer: Look for Attention in BatcharXiv:2407.04218
  • 3D Face ReconstructiononAffectNet
    Accuracy (7 emotion)· 2024-07-05
    67.6
    best: 72.93 (ResEmoteNet)
    Batch Transformer: Look for Attention in BatcharXiv:2407.04218

Music4 results

  • Facial Recognition and ModellingonRAF-DB
    Avg. Accuracy· 2024-07-05
    87.3
    best: 87.5 (C-EXPR-NET)
    SOTA
    Batch Transformer: Look for Attention in BatcharXiv:2407.04218
  • Facial Recognition and ModellingonAffectNet
    Accuracy (8 emotion)· 2024-07-05
    64.29
    best: 68.69 (Norface)
    SOTA
    Batch Transformer: Look for Attention in BatcharXiv:2407.04218
  • Facial Recognition and ModellingonRAF-DB
    Overall Accuracy· 2024-07-05
    92.54
    best: 94.76 (ResEmoteNet)
    Batch Transformer: Look for Attention in BatcharXiv:2407.04218
  • Facial Recognition and ModellingonAffectNet
    Accuracy (7 emotion)· 2024-07-05
    67.6
    best: 72.93 (ResEmoteNet)
    Batch Transformer: Look for Attention in BatcharXiv:2407.04218

Methodology4 results

  • 3DonRAF-DB
    Avg. Accuracy· 2024-07-05
    87.3
    best: 87.5 (C-EXPR-NET)
    SOTA
    Batch Transformer: Look for Attention in BatcharXiv:2407.04218
  • 3DonAffectNet
    Accuracy (8 emotion)· 2024-07-05
    64.29
    best: 68.69 (Norface)
    SOTA
    Batch Transformer: Look for Attention in BatcharXiv:2407.04218
  • 3DonRAF-DB
    Overall Accuracy· 2024-07-05
    92.54
    best: 94.76 (ResEmoteNet)
    Batch Transformer: Look for Attention in BatcharXiv:2407.04218
  • 3DonAffectNet
    Accuracy (7 emotion)· 2024-07-05
    67.6
    best: 72.93 (ResEmoteNet)
    Batch Transformer: Look for Attention in BatcharXiv:2407.04218

Medical4 results

  • 3D Face ModellingonRAF-DB
    Avg. Accuracy· 2024-07-05
    87.3
    best: 87.5 (C-EXPR-NET)
    SOTA
    Batch Transformer: Look for Attention in BatcharXiv:2407.04218
  • 3D Face ModellingonAffectNet
    Accuracy (8 emotion)· 2024-07-05
    64.29
    best: 68.69 (Norface)
    SOTA
    Batch Transformer: Look for Attention in BatcharXiv:2407.04218
  • 3D Face ModellingonRAF-DB
    Overall Accuracy· 2024-07-05
    92.54
    best: 94.76 (ResEmoteNet)
    Batch Transformer: Look for Attention in BatcharXiv:2407.04218
  • 3D Face ModellingonAffectNet
    Accuracy (7 emotion)· 2024-07-05
    67.6
    best: 72.93 (ResEmoteNet)
    Batch Transformer: Look for Attention in BatcharXiv:2407.04218