Event data classification on CIFAR10-DVS

Metric: Accuracy (higher is better)

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#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	tdBN + NDA (VGG11)	81.7	Yes	Neuromorphic Data Augmentation for Training Spik...	2022-03-11	Code
2	STL-SNN	78.5	No	A Synapse-Threshold Synergistic Learning Approac...	2022-06-10	Code
3	OTTT	77.1	No	Online Training Through Time for Spiking Neural ...	2022-10-09	Code
4	Dspike (ResNet-18)	75.4	No	-	-	-
5	ECSNet	72.7	No	-	-	Code
6	IM-Loss (ResNet-19)	72.6	No	-	-	-
7	STS-ResNet	69.2	No	Convolutional Spiking Neural Networks for Spatio...	2020-03-27	Code

#1tdBN + NDA (VGG11)SOTA
81.7
Accuracy· Extra Data· 2022-03-11
Neuromorphic Data Augmentation for Training Spiking Neural Networks Code
#2STL-SNN
78.5
Accuracy· 2022-06-10
A Synapse-Threshold Synergistic Learning Approach for Spiking Neural Networks Code
#3OTTT
77.1
Accuracy· 2022-10-09
Online Training Through Time for Spiking Neural Networks Code
#4Dspike (ResNet-18)
75.4
Accuracy
No paper
#5ECSNet
72.7
Accuracy
No paperCode
#6IM-Loss (ResNet-19)
72.6
Accuracy
No paper
#7STS-ResNetSOTA
69.2
Accuracy· 2020-03-27
Convolutional Spiking Neural Networks for Spatio-Temporal Feature Extraction Code