Image Classification on Fashion-MNIST

Metric: Accuracy (higher is better)

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#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	pFedBreD_ns_mg	99.06	No	Personalized Federated Learning with Hidden Info...	2022-11-19	-
2	LR-Net	95.03	No	LR-Net: A Block-based Convolutional Neural Netwo...	2022-07-19	Code
3	Inception v3	94.44	No	CNN Filter DB: An Empirical Investigation of Tra...	2022-03-29	Code
4	R-ExplaiNet-26	93.45	No	Learning local discrete features in explainable-...	2024-10-31	Code
5	ResNet-18 + Vision Eagle Attention	93.3	No	Vision Eagle Attention: a new lens for advancing...	2024-11-15	Code
6	Tsetlin Machine Composites	93	No	TMComposites: Plug-and-Play Collaboration Betwee...	2023-09-09	Code
7	StiDi-BP in R-CSNN	92.8	No	Spike time displacement based error backpropagat...	2021-08-31	-
8	Star Algorithm on LeNet	92.3	No	Star algorithm for NN ensembling	2022-06-01	Code
9	ResNet-18	92.28	No	Vision Eagle Attention: a new lens for advancing...	2024-11-15	Code
10	SpeedyLiteVision Network	91.6	No	-	-	-
11	CTM-8000 (Convolutional Tsetlin Machine)	91.5	No	The Convolutional Tsetlin Machine	2019-05-23	Code
12	CNN+ Wilson-Cowan model RNN	91.35	No	Learning in Wilson-Cowan model for metapopulation	2024-06-24	Code
13	Convolutional PMM (Parametric Matrix Model)	90.89	No	Parametric Matrix Models	2024-01-22	-
14	FastSNN (CNN)	90.57	No	Robust and accelerated single-spike spiking neur...	2022-05-30	Code
15	FastSNN (MLP)	89.05	No	Robust and accelerated single-spike spiking neur...	2022-05-30	Code
16	PMM (Parametric Matrix Model)	88.58	No	Parametric Matrix Models	2024-01-22	-
17	Wilson-Cowan model RNN	88.39	No	Learning in Wilson-Cowan model for metapopulation	2024-06-24	Code
18	CTM-250 (Convolutional Tsetlin Machine)	88.25	No	The Convolutional Tsetlin Machine	2019-05-23	Code
19	GECCO	88.09	No	A Single Graph Convolution Is All You Need: Effi...	2024-02-01	Code
20	Sparse Spiking Gradient Descent (CNN)	86.7	No	Sparse Spiking Gradient Descent	2021-05-18	Code
21	SNNL-5	84.4	No	Improving k-Means Clustering Performance with Di...	2020-06-05	Code
22	Continued fraction of straight lines	84.12	No	Real-valued continued fraction of straight lines	2024-12-16	Code
23	Sparse Spiking Gradient Descent (MLP)	82.7	No	Sparse Spiking Gradient Descent	2021-05-18	Code
24	DENSER	0.904	No	Towards Physical Plausibility in Neuroevolution ...	2024-01-31	Code
25	ENERGIZE	0.902	No	Towards Physical Plausibility in Neuroevolution ...	2024-01-31	Code

#1pFedBreD_ns_mgSOTA
99.06
Accuracy· 2022-11-19
Personalized Federated Learning with Hidden Information on Personalized Prior
#2LR-NetSOTA
95.03
Accuracy· 2022-07-19
LR-Net: A Block-based Convolutional Neural Network for Low-Resolution Image Classification Code
#3Inception v3SOTA
94.44
Accuracy· 2022-03-29
CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters Code
#4R-ExplaiNet-26
93.45
Accuracy· 2024-10-31
Learning local discrete features in explainable-by-design convolutional neural networks Code
#5ResNet-18 + Vision Eagle Attention
93.3
Accuracy· 2024-11-15
Vision Eagle Attention: a new lens for advancing image classification Code
#6Tsetlin Machine Composites
93
Accuracy· 2023-09-09
TMComposites: Plug-and-Play Collaboration Between Specialized Tsetlin Machines Code
#7StiDi-BP in R-CSNNSOTA
92.8
Accuracy· 2021-08-31
Spike time displacement based error backpropagation in convolutional spiking neural networks
#8Star Algorithm on LeNet
92.3
Accuracy· 2022-06-01
Star algorithm for NN ensembling Code
#9ResNet-18
92.28
Accuracy· 2024-11-15
Vision Eagle Attention: a new lens for advancing image classification Code
#10SpeedyLiteVision Network
91.6
Accuracy
No paper
#11CTM-8000 (Convolutional Tsetlin Machine)SOTA
91.5
Accuracy· 2019-05-23
The Convolutional Tsetlin Machine Code
#12CNN+ Wilson-Cowan model RNN
91.35
Accuracy· 2024-06-24
Learning in Wilson-Cowan model for metapopulation Code
#13Convolutional PMM (Parametric Matrix Model)
90.89
Accuracy· 2024-01-22
Parametric Matrix Models
#14FastSNN (CNN)
90.57
Accuracy· 2022-05-30
Robust and accelerated single-spike spiking neural network training with applicability to challenging temporal tasks Code
#15FastSNN (MLP)
89.05
Accuracy· 2022-05-30
Robust and accelerated single-spike spiking neural network training with applicability to challenging temporal tasks Code
#16PMM (Parametric Matrix Model)
88.58
Accuracy· 2024-01-22
Parametric Matrix Models
#17Wilson-Cowan model RNN
88.39
Accuracy· 2024-06-24
Learning in Wilson-Cowan model for metapopulation Code
#18CTM-250 (Convolutional Tsetlin Machine)
88.25
Accuracy· 2019-05-23
The Convolutional Tsetlin Machine Code
#19GECCO
88.09
Accuracy· 2024-02-01
A Single Graph Convolution Is All You Need: Efficient Grayscale Image Classification Code
#20Sparse Spiking Gradient Descent (CNN)
86.7
Accuracy· 2021-05-18
Sparse Spiking Gradient Descent Code
#21SNNL-5
84.4
Accuracy· 2020-06-05
Improving k-Means Clustering Performance with Disentangled Internal Representations Code
#22Continued fraction of straight lines
84.12
Accuracy· 2024-12-16
Real-valued continued fraction of straight lines Code
#23Sparse Spiking Gradient Descent (MLP)
82.7
Accuracy· 2021-05-18
Sparse Spiking Gradient Descent Code
#24DENSER
0.904
Accuracy· 2024-01-31
Towards Physical Plausibility in Neuroevolution Systems Code
#25ENERGIZE
0.902
Accuracy· 2024-01-31
Towards Physical Plausibility in Neuroevolution Systems Code