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Benchmarks
Expression Classification on AffectNet (test)
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63.11
Total Accuracy
DMUE
46.366
50.713
55.06
59.407
Nov 12, 2018
Apr 6, 2019
Aug 29, 2019
Jan 21, 2020
Jun 14, 2020
Nov 6, 2020
Apr 1, 2021
Total Accuracy
F1 Score
Updated 4d ago
Evaluation Results
Method
Method
Links
Total Accuracy
F1 Score
DMUE
Backbone=ResNet-50IBN
2021.04
63.11
-
DMUE
Backbone=ResNet-18
2021.04
62.84
-
CAKE
Training Set=AffectNet...
2021.04
61.7
-
FMPN
Setting=image-based
2019.02
61.52
-
CNN (baseline)
Setting=image-based
2019.02
60.86
-
SCN
Number of Classes=7 cl...
2021.04
60.23
-
CNN (no lg)
Setting=image-based
2019.02
60.01
-
VGG-FACE trained using the proposed approach
Backbone=VGG-FACE, Tra...
2018.11
60
59
RAN
2021.04
59.5
-
AlexNet
Backbone=AlexNet
2018.11
58
58
IPA2LT
Training Set=AffectNet...
2021.04
55.71
-
VGG-FACE baseline
Backbone=VGG-FACE, Tra...
2018.11
52
51
Upsample
2021.04
47.01
-
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