PSR (VGG-16)

Reported on 6 benchmarks across 6 tasks

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

Computer Vision3 results

Face ReconstructiononAffectNet
Accuracy (8 emotion)· uses extra data
60.68
best: 68.69 (Norface)
Facial Expression Recognition (FER)onAffectNet
Accuracy (8 emotion)· uses extra data
60.68
best: 68.69 (Norface)
3D Face ReconstructiononAffectNet
Accuracy (8 emotion)· uses extra data
60.68
best: 68.69 (Norface)

Music1 result

Facial Recognition and ModellingonAffectNet
Accuracy (8 emotion)· uses extra data
60.68
best: 68.69 (Norface)

Methodology1 result

3DonAffectNet
Accuracy (8 emotion)· uses extra data
60.68
best: 68.69 (Norface)

Medical1 result

3D Face ModellingonAffectNet
Accuracy (8 emotion)· uses extra data
60.68
best: 68.69 (Norface)