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Emotion Recognition on AffectNet v1 (test)
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0.77
Valence CCC
EMOCA v1
0.614
0.6545
0.695
0.7355
Apr 5, 2024
Valence CCC
Valence RMSE
Arousal CCC
Arousal RMSE
Accuracy (E)
Updated 4mo ago
Evaluation Results
Method
Method
Links
Valence CCC
Valence RMSE
Arousal CCC
Arousal RMSE
Accuracy (E)
EMOCA v1
2024.04
0.77
0.31
0.68
0.3
68
EMOCA v2
2024.04
0.76
0.33
0.66
0.3
66
Deep3DFace
2024.04
0.73
0.33
0.65
0.31
65
SMIRK
2024.04
0.72
0.35
0.61
0.31
64
SMIRK
emotion_loss=false
2024.04
0.71
0.35
0.6
0.32
62
MGCNet
2024.04
0.69
0.35
0.58
0.34
60
DECA
2024.04
0.69
0.36
0.58
0.33
59
FOCUS
trained_dataset=CelebA
2024.04
0.69
0.35
0.54
0.33
58
3DDFA-v2
2024.04
0.62
0.39
0.5
0.34
52
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