Facial Expression Recognition (FER) on FER+

Metric: Accuracy (higher is better)

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#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	PAtt-Lite	95.55	No	PAtt-Lite: Lightweight Patch and Attention Mobil...	2023-06-16	Code
2	GReFEL	93.09	No	GReFEL: Geometry-Aware Reliable Facial Expressio...	2024-10-21	-
3	QCS	91.85	No	QCS: Feature Refining from Quadruplet Cross Simi...	2024-11-04	Code
4	ResNet18 Dense Architecture	91.41	No	Real Time Emotion Analysis Using Deep Learning f...	2024-07-05	-
5	DDAMFN	90.74	No	-	-	Code
6	KTN	90.49	No	-	-	-
7	Vit-base + MAE	90.18	No	Emotion Separation and Recognition from a Facial...	2022-07-22	-
8	FER-VT	90.04	Yes	-	-	Code
9	EAC	89.64	No	Learn From All: Erasing Attention Consistency fo...	2022-07-21	Code
10	LResNet50E-IR	89.257	Yes	Exploring Emotion Features and Fusion Strategies...	2020-12-27	-
11	ViT-base	88.91	No	Emotion Separation and Recognition from a Facial...	2022-07-22	-
12	ViT-tiny	88.56	No	Emotion Separation and Recognition from a Facial...	2022-07-22	-
13	Local Learning Deep + BOW	87.76	No	Local Learning with Deep and Handcrafted Feature...	2018-04-29	-
14	Ensemble with Shared Representations (ESR-9)	87.15	Yes	Efficient Facial Feature Learning with Wide Ense...	2020-01-17	Code

#1PAtt-LiteSOTA
95.55
Accuracy· 2023-06-16
PAtt-Lite: Lightweight Patch and Attention MobileNet for Challenging Facial Expression Recognition Code
#2GReFEL
93.09
Accuracy· 2024-10-21
GReFEL: Geometry-Aware Reliable Facial Expression Learning under Bias and Imbalanced Data Distribution
#3QCS
91.85
Accuracy· 2024-11-04
QCS: Feature Refining from Quadruplet Cross Similarity for Facial Expression Recognition Code
#4ResNet18 Dense Architecture
91.41
Accuracy· 2024-07-05
Real Time Emotion Analysis Using Deep Learning for Education, Entertainment, and Beyond
#5DDAMFN
90.74
Accuracy
No paperCode
#6KTN
90.49
Accuracy
No paper
#7Vit-base + MAESOTA
90.18
Accuracy· 2022-07-22
Emotion Separation and Recognition from a Facial Expression by Generating the Poker Face with Vision Transformers
#8FER-VT
90.04
Accuracy· Extra Data
No paperCode
#9EACSOTA
89.64
Accuracy· 2022-07-21
Learn From All: Erasing Attention Consistency for Noisy Label Facial Expression Recognition Code
#10LResNet50E-IRSOTA
89.257
Accuracy· Extra Data· 2020-12-27
Exploring Emotion Features and Fusion Strategies for Audio-Video Emotion Recognition
#11ViT-base
88.91
Accuracy· 2022-07-22
Emotion Separation and Recognition from a Facial Expression by Generating the Poker Face with Vision Transformers
#12ViT-tiny
88.56
Accuracy· 2022-07-22
Emotion Separation and Recognition from a Facial Expression by Generating the Poker Face with Vision Transformers
#13Local Learning Deep + BOWSOTA
87.76
Accuracy· 2018-04-29
Local Learning with Deep and Handcrafted Features for Facial Expression Recognition
#14Ensemble with Shared Representations (ESR-9)
87.15
Accuracy· Extra Data· 2020-01-17
Efficient Facial Feature Learning with Wide Ensemble-based Convolutional Neural Networks Code