Facial Recognition and Modelling on FER2013

Metric: Accuracy (higher is better)

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#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	EfficientFER	82.47	Yes	-	-	Code
2	FERNeXt-SDAFE	81.33	Yes	-	-	-
3	ResEmoteNet	79.79	Yes	ResEmoteNet: Bridging Accuracy and Loss Reductio...	2024-09-01	Code
4	Ensemble ResMaskingNet with 6 other CNNs	76.82	Yes	-	-	Code
5	Mini-ResEmoteNet (A)	76.33	Yes	Mini-ResEmoteNet: Leveraging Knowledge Distillat...	2025-01-30	-
6	EmoNeXt	76.12	No	EmoNeXt: an Adapted ConvNeXt for Facial Emotion ...	2025-01-14	Code
7	Segmentation VGG-19	75.97	Yes	-	-	Code
8	Local Learning Deep+BOW	75.42	Yes	Local Learning with Deep and Handcrafted Feature...	2018-04-29	-
9	LHC-Net	74.42	Yes	Local Multi-Head Channel Self-Attention for Faci...	2021-11-14	Code
10	Residual Masking Network	74.14	Yes	-	-	Code
11	ResNet18 With Tricks	73.7	No	-	-	Code
12	VGGNet	73.28	No	Facial Emotion Recognition: State of the Art Per...	2021-05-08	Code
13	CNN Hyperparameter Optimisation	72.16	No	-	-	Code
14	Ad-Corre	72.03	No	-	-	Code
15	Mini-ResEmoteNet (B)	70.2	Yes	Mini-ResEmoteNet: Leveraging Knowledge Distillat...	2025-01-30	-
16	DeepEmotion	70.02	No	Deep-Emotion: Facial Expression Recognition Usin...	2019-02-04	Code
17	Local Learning BOW	67.48	No	Challenges in Representation Learning: A report ...	2013-07-01	Code

#1EfficientFER
82.47
Accuracy· Extra Data
No paperCode
#2FERNeXt-SDAFE
81.33
Accuracy· Extra Data
No paper
#3ResEmoteNetSOTA
79.79
Accuracy· Extra Data· 2024-09-01
ResEmoteNet: Bridging Accuracy and Loss Reduction in Facial Emotion Recognition Code
#4Ensemble ResMaskingNet with 6 other CNNs
76.82
Accuracy· Extra Data
No paperCode
#5Mini-ResEmoteNet (A)
76.33
Accuracy· Extra Data· 2025-01-30
Mini-ResEmoteNet: Leveraging Knowledge Distillation for Human-Centered Design
#6EmoNeXt
76.12
Accuracy· 2025-01-14
EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition Code
#7Segmentation VGG-19
75.97
Accuracy· Extra Data
No paperCode
#8Local Learning Deep+BOWSOTA
75.42
Accuracy· Extra Data· 2018-04-29
Local Learning with Deep and Handcrafted Features for Facial Expression Recognition
#9LHC-Net
74.42
Accuracy· Extra Data· 2021-11-14
Local Multi-Head Channel Self-Attention for Facial Expression Recognition Code
#10Residual Masking Network
74.14
Accuracy· Extra Data
No paperCode
#11ResNet18 With Tricks
73.7
Accuracy
No paperCode
#12VGGNet
73.28
Accuracy· 2021-05-08
Facial Emotion Recognition: State of the Art Performance on FER2013 Code
#13CNN Hyperparameter Optimisation
72.16
Accuracy
No paperCode
#14Ad-Corre
72.03
Accuracy
No paperCode
#15Mini-ResEmoteNet (B)
70.2
Accuracy· Extra Data· 2025-01-30
Mini-ResEmoteNet: Leveraging Knowledge Distillation for Human-Centered Design
#16DeepEmotion
70.02
Accuracy· 2019-02-04
Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network Code
#17Local Learning BOWSOTA
67.48
Accuracy· 2013-07-01
Challenges in Representation Learning: A report on three machine learning contests Code