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Benchmarks
Valence Estimation on AffectNet (test)
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0.62
CCC
VGG-FACE trained using the proposed approach
0.4952
0.5276
0.56
0.5924
Nov 12, 2018
CCC
Pearson CC
SAGR
MSE
Updated 1mo ago
Evaluation Results
Method
Method
Links
CCC
Pearson CC
SAGR
MSE
VGG-FACE trained using the proposed approach
Networks=VGG-FACE trai...
2018.11
0.62
0.66
0.78
0.14
AlexNet
Networks=AlexNet
2018.11
0.6
0.66
0.74
0.14
VGG-FACE trained using Ganimation
Networks=VGG-FACE trai...
2018.11
0.56
0.59
0.74
0.15
VGG-FACE trained using StarGAN
Networks=VGG-FACE trai...
2018.11
0.55
0.58
0.74
0.17
VGG-FACE baseline
Networks=the VGG-FACE...
2018.11
0.5
0.54
0.65
0.19
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