3D Face Modelling on FERPlus

Metric: Accuracy(pretrained) (higher is better)

LeaderboardDataset

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#	Model↕	Accuracy(pretrained)▼	Extra Data	Paper	Date↕	Code
1	KTN	90.49	No	-	-	-
2	RAN (VGG-16)	89.16	No	Region Attention Networks for Pose and Occlusion...	2019-05-10	Code
3	SENet Teacher	88.88	No	Emotion Recognition in Speech using Cross-Modal ...	2018-08-16	-
4	Local Learning Deep + BOW	87.76	No	Local Learning with Deep and Handcrafted Feature...	2018-04-29	-

#1KTN
90.49
Accuracy(pretrained)
No paper
#2RAN (VGG-16)SOTA
89.16
Accuracy(pretrained)· 2019-05-10
Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition Code
#3SENet TeacherSOTA
88.88
Accuracy(pretrained)· 2018-08-16
Emotion Recognition in Speech using Cross-Modal Transfer in the Wild
#4Local Learning Deep + BOWSOTA
87.76
Accuracy(pretrained)· 2018-04-29
Local Learning with Deep and Handcrafted Features for Facial Expression Recognition