Image Classification on EMNIST-Digits

Metric: Accuracy (%) (higher is better)

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#	Model↕	Accuracy (%)▼	Extra Data	Paper	Date↕	Code
1	WaveMixLite-112/16	99.82	No	WaveMix: A Resource-efficient Neural Network for...	2022-05-28	Code
2	µ2Net (ViT-L/16)	99.82	No	An Evolutionary Approach to Dynamic Introduction...	2022-05-25	Code
3	VGG-5(Spinal FC)	99.75	No	SpinalNet: Deep Neural Network with Gradual Input	2020-07-07	Code
4	OptConv+Log+Perc	99.43	No	-	-	-
5	SVM classifier	97.74	No	-	-	-
6	OPIUM Classifier	96.3	No	EMNIST: an extension of MNIST to handwritten let...	2017-02-17	Code
7	Linear Classifier	84.7	No	EMNIST: an extension of MNIST to handwritten let...	2017-02-17	Code

#1WaveMixLite-112/16
99.82
Accuracy (%)· 2022-05-28
WaveMix: A Resource-efficient Neural Network for Image Analysis Code
#2µ2Net (ViT-L/16)SOTA
99.82
Accuracy (%)· 2022-05-25
An Evolutionary Approach to Dynamic Introduction of Tasks in Large-scale Multitask Learning Systems Code
#3VGG-5(Spinal FC)SOTA
99.75
Accuracy (%)· 2020-07-07
SpinalNet: Deep Neural Network with Gradual Input Code
#4OptConv+Log+Perc
99.43
Accuracy (%)
No paper
#5SVM classifier
97.74
Accuracy (%)
No paper
#6OPIUM ClassifierSOTA
96.3
Accuracy (%)· 2017-02-17
EMNIST: an extension of MNIST to handwritten letters Code
#7Linear Classifier
84.7
Accuracy (%)· 2017-02-17
EMNIST: an extension of MNIST to handwritten letters Code