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Models/VGG-FACE

VGG-FACE

Reported on 12 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 Vision6 results

Face ReconstructiononRAF-DB
Avg. Accuracy· uses extra data· 2018-11-12
77.5
best: 87.5 (C-EXPR-NET)
SOTA
Deep Neural Network Augmentation: Generating Faces for Affect Analysis arXiv:1811.05027
Face ReconstructiononAffectNet
Accuracy (8 emotion)· uses extra data· 2018-11-12
60.4
best: 68.69 (Norface)
SOTA
Deep Neural Network Augmentation: Generating Faces for Affect Analysis arXiv:1811.05027
Facial Expression Recognition (FER)onRAF-DB
Avg. Accuracy· uses extra data· 2018-11-12
77.5
best: 87.5 (C-EXPR-NET)
SOTA
Deep Neural Network Augmentation: Generating Faces for Affect Analysis arXiv:1811.05027
Facial Expression Recognition (FER)onAffectNet
Accuracy (8 emotion)· uses extra data· 2018-11-12
60.4
best: 68.69 (Norface)
SOTA
Deep Neural Network Augmentation: Generating Faces for Affect Analysis arXiv:1811.05027
3D Face ReconstructiononRAF-DB
Avg. Accuracy· uses extra data· 2018-11-12
77.5
best: 87.5 (C-EXPR-NET)
SOTA
Deep Neural Network Augmentation: Generating Faces for Affect Analysis arXiv:1811.05027
3D Face ReconstructiononAffectNet
Accuracy (8 emotion)· uses extra data· 2018-11-12
60.4
best: 68.69 (Norface)
SOTA
Deep Neural Network Augmentation: Generating Faces for Affect Analysis arXiv:1811.05027

Music2 results

Facial Recognition and ModellingonRAF-DB
Avg. Accuracy· uses extra data· 2018-11-12
77.5
best: 87.5 (C-EXPR-NET)
SOTA
Deep Neural Network Augmentation: Generating Faces for Affect Analysis arXiv:1811.05027
Facial Recognition and ModellingonAffectNet
Accuracy (8 emotion)· uses extra data· 2018-11-12
60.4
best: 68.69 (Norface)
SOTA
Deep Neural Network Augmentation: Generating Faces for Affect Analysis arXiv:1811.05027

Methodology2 results

3DonRAF-DB
Avg. Accuracy· uses extra data· 2018-11-12
77.5
best: 87.5 (C-EXPR-NET)
SOTA
Deep Neural Network Augmentation: Generating Faces for Affect Analysis arXiv:1811.05027
3DonAffectNet
Accuracy (8 emotion)· uses extra data· 2018-11-12
60.4
best: 68.69 (Norface)
SOTA
Deep Neural Network Augmentation: Generating Faces for Affect Analysis arXiv:1811.05027

Medical2 results

3D Face ModellingonRAF-DB
Avg. Accuracy· uses extra data· 2018-11-12
77.5
best: 87.5 (C-EXPR-NET)
SOTA
Deep Neural Network Augmentation: Generating Faces for Affect Analysis arXiv:1811.05027
3D Face ModellingonAffectNet
Accuracy (8 emotion)· uses extra data· 2018-11-12
60.4
best: 68.69 (Norface)
SOTA
Deep Neural Network Augmentation: Generating Faces for Affect Analysis arXiv:1811.05027