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Models/FMAE

FMAE

Reported on 27 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
Overall Accuracy· uses extra data· 2024-07-15
93.45
best: 94.76 (ResEmoteNet)
SOTA
Representation Learning and Identity Adversarial Training for Facial Behavior Understanding arXiv:2407.11243
Face ReconstructiononAffectNet
Accuracy (8 emotion)· uses extra data· 2024-07-15
64.79
best: 68.69 (Norface)
SOTA
Representation Learning and Identity Adversarial Training for Facial Behavior Understanding arXiv:2407.11243
Facial Expression Recognition (FER)onRAF-DB
Overall Accuracy· uses extra data· 2024-07-15
93.45
best: 94.76 (ResEmoteNet)
SOTA
Representation Learning and Identity Adversarial Training for Facial Behavior Understanding arXiv:2407.11243
Facial Expression Recognition (FER)onAffectNet
Accuracy (8 emotion)· uses extra data· 2024-07-15
64.79
best: 68.69 (Norface)
SOTA
Representation Learning and Identity Adversarial Training for Facial Behavior Understanding arXiv:2407.11243
3D Face ReconstructiononRAF-DB
Overall Accuracy· uses extra data· 2024-07-15
93.45
best: 94.76 (ResEmoteNet)
SOTA
Representation Learning and Identity Adversarial Training for Facial Behavior Understanding arXiv:2407.11243
3D Face ReconstructiononAffectNet
Accuracy (8 emotion)· uses extra data· 2024-07-15
64.79
best: 68.69 (Norface)
SOTA
Representation Learning and Identity Adversarial Training for Facial Behavior Understanding arXiv:2407.11243
Face ReconstructiononDISFA
Average F1· uses extra data· 2024-07-15
68.7
best: 72.7 (Norface)
Representation Learning and Identity Adversarial Training for Facial Behavior Understanding arXiv:2407.11243
Face ReconstructiononBP4D+
Average F1· uses extra data· 2024-07-15
66.2
best: 66.8 (FMAE-IAT)
Representation Learning and Identity Adversarial Training for Facial Behavior Understanding arXiv:2407.11243
Face ReconstructiononBP4D
Average F1· uses extra data· 2024-07-15
66.6
best: 67.1 (FMAE-IAT)
Representation Learning and Identity Adversarial Training for Facial Behavior Understanding arXiv:2407.11243
3D Face ReconstructiononDISFA
Average F1· uses extra data· 2024-07-15
68.7
best: 72.7 (Norface)
Representation Learning and Identity Adversarial Training for Facial Behavior Understanding arXiv:2407.11243
3D Face ReconstructiononBP4D+
Average F1· uses extra data· 2024-07-15
66.2
best: 66.8 (FMAE-IAT)
Representation Learning and Identity Adversarial Training for Facial Behavior Understanding arXiv:2407.11243
3D Face ReconstructiononBP4D
Average F1· uses extra data· 2024-07-15
66.6
best: 67.1 (FMAE-IAT)
Representation Learning and Identity Adversarial Training for Facial Behavior Understanding arXiv:2407.11243

Music5 results

Facial Recognition and ModellingonRAF-DB
Overall Accuracy· uses extra data· 2024-07-15
93.45
best: 94.76 (ResEmoteNet)
SOTA
Representation Learning and Identity Adversarial Training for Facial Behavior Understanding arXiv:2407.11243
Facial Recognition and ModellingonAffectNet
Accuracy (8 emotion)· uses extra data· 2024-07-15
64.79
best: 68.69 (Norface)
SOTA
Representation Learning and Identity Adversarial Training for Facial Behavior Understanding arXiv:2407.11243
Facial Recognition and ModellingonDISFA
Average F1· uses extra data· 2024-07-15
68.7
best: 72.7 (Norface)
Representation Learning and Identity Adversarial Training for Facial Behavior Understanding arXiv:2407.11243
Facial Recognition and ModellingonBP4D+
Average F1· uses extra data· 2024-07-15
66.2
best: 66.8 (FMAE-IAT)
Representation Learning and Identity Adversarial Training for Facial Behavior Understanding arXiv:2407.11243
Facial Recognition and ModellingonBP4D
Average F1· uses extra data· 2024-07-15
66.6
best: 67.1 (FMAE-IAT)
Representation Learning and Identity Adversarial Training for Facial Behavior Understanding arXiv:2407.11243

Methodology5 results

3DonRAF-DB
Overall Accuracy· uses extra data· 2024-07-15
93.45
best: 94.76 (ResEmoteNet)
SOTA
Representation Learning and Identity Adversarial Training for Facial Behavior Understanding arXiv:2407.11243
3DonAffectNet
Accuracy (8 emotion)· uses extra data· 2024-07-15
64.79
best: 68.69 (Norface)
SOTA
Representation Learning and Identity Adversarial Training for Facial Behavior Understanding arXiv:2407.11243
3DonDISFA
Average F1· uses extra data· 2024-07-15
68.7
best: 72.7 (Norface)
Representation Learning and Identity Adversarial Training for Facial Behavior Understanding arXiv:2407.11243
3DonBP4D+
Average F1· uses extra data· 2024-07-15
66.2
best: 66.8 (FMAE-IAT)
Representation Learning and Identity Adversarial Training for Facial Behavior Understanding arXiv:2407.11243
3DonBP4D
Average F1· uses extra data· 2024-07-15
66.6
best: 67.1 (FMAE-IAT)
Representation Learning and Identity Adversarial Training for Facial Behavior Understanding arXiv:2407.11243

Medical5 results

3D Face ModellingonRAF-DB
Overall Accuracy· uses extra data· 2024-07-15
93.45
best: 94.76 (ResEmoteNet)
SOTA
Representation Learning and Identity Adversarial Training for Facial Behavior Understanding arXiv:2407.11243
3D Face ModellingonAffectNet
Accuracy (8 emotion)· uses extra data· 2024-07-15
64.79
best: 68.69 (Norface)
SOTA
Representation Learning and Identity Adversarial Training for Facial Behavior Understanding arXiv:2407.11243
3D Face ModellingonDISFA
Average F1· uses extra data· 2024-07-15
68.7
best: 72.7 (Norface)
Representation Learning and Identity Adversarial Training for Facial Behavior Understanding arXiv:2407.11243
3D Face ModellingonBP4D+
Average F1· uses extra data· 2024-07-15
66.2
best: 66.8 (FMAE-IAT)
Representation Learning and Identity Adversarial Training for Facial Behavior Understanding arXiv:2407.11243
3D Face ModellingonBP4D
Average F1· uses extra data· 2024-07-15
66.6
best: 67.1 (FMAE-IAT)
Representation Learning and Identity Adversarial Training for Facial Behavior Understanding arXiv:2407.11243