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Benchmarks
Expression Recognition on FER 2013
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80
Accuracy
MT-ArcRes
10.84
28.795
46.75
64.705
Sep 25, 2019
Mar 29, 2020
Oct 1, 2020
Apr 6, 2021
Oct 9, 2021
Apr 13, 2022
Oct 17, 2022
Accuracy
Top-1 Accuracy
Updated 4d ago
Evaluation Results
Method
Method
Links
Accuracy
Top-1 Accuracy
MT-ArcRes
Loss Function=ArcFace,...
2019.09
80
-
MT-ArcVGG
Loss Function=ArcFace,...
2019.09
79
-
FT-MT-VGG
Backbone=MT-VGG, Train...
2019.09
78
-
MT-VGG
Training=Trained on Af...
2019.09
76
-
VGG
2019.09
75
-
xCLIP
Backbone=ViT-B/16, Pre...
2022.10
39
-
CLIP
Backbone=ViT-B/16, Pre...
2022.10
37.3
-
nCLIP
Backbone=ViT-B/16, Pre...
2022.10
13.5
-
CLIP
evaluation=linear probing
2022.08
-
72.9
LOUPE
evaluation=linear probing
2022.08
-
70.7
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