Image Classification on Kuzushiji-MNIST

Metric: Accuracy (higher is better)

LeaderboardDataset

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Results

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#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	KMNIST-Tiny	99.35	No	-	-	Code
2	KMNIST-Mobile	99.29	No	-	-	Code
3	VGG-5 (Spinal FC)	99.15	No	SpinalNet: Deep Neural Network with Gradual Input	2020-07-07	Code
4	CAMNet3	99.05	No	Context-Aware Multipath Networks	2019-07-26	-
5	VGG8B(2x) + LocalLearning + CO	99.01	No	Training Neural Networks with Local Error Signals	2019-01-20	Code
6	VGG-5	98.98	No	ProgressiveSpinalNet architecture for FC layers	2021-03-21	Code
7	CN(d=32)	98.84	No	-	-	-
8	NSRL (log D) (d=16)	98.81	No	-	-	-
9	CN(d=16)	98.8	No	-	-	-
10	Resnet-152	98.79	No	A Comprehensive Study of ImageNet Pre-Training f...	2019-05-22	-
11	R-ExplaiNet-26	98.78	No	Learning local discrete features in explainable-...	2024-10-31	Code
12	ResNet-14	98.75	No	CNN Filter DB: An Empirical Investigation of Tra...	2022-03-29	Code
13	NSRL (WGAN) (d=32)	98.72	No	-	-	-
14	NSRL (WGAN) (d=8)	98.68	No	-	-	-
15	NSRL (WGAN) (d=16)	98.66	No	-	-	-
16	NSRL (log D) (d=32)	98.63	No	-	-	-
17	NSRL (log D) (d=8)	98.61	No	-	-	-
18	CN(d=8)	98.6	No	-	-	-
19	Efficient Capsnet	98.43	No	-	-	Code
20	PreActResNet-18 + Input Mixup	98.41	No	mixup: Beyond Empirical Risk Minimization	2017-10-25	Code
21	PreActResNet-18	97.82	No	Identity Mappings in Deep Residual Networks	2016-03-16	Code
22	Convolutional Tsetlin Machine	96.3	No	The Convolutional Tsetlin Machine	2019-05-23	Code
23	KerCNN	93.13	No	KerCNNs: biologically inspired lateral connectio...	2019-10-18	-
24	linear/flexible model	79.9	No	Multi-Complementary and Unlabeled Learning for A...	2020-01-13	-
25	FWD	79.5	No	Multi-Complementary and Unlabeled Learning for A...	2020-01-13	-
26	Complementary-Label Learning	67.1	No	Complementary-Label Learning for Arbitrary Losse...	2018-10-10	Code

#1KMNIST-Tiny
99.35
Accuracy
No paperCode
#2KMNIST-Mobile
99.29
Accuracy
No paperCode
#3VGG-5 (Spinal FC)SOTA
99.15
Accuracy· 2020-07-07
SpinalNet: Deep Neural Network with Gradual Input Code
#4CAMNet3SOTA
99.05
Accuracy· 2019-07-26
Context-Aware Multipath Networks
#5VGG8B(2x) + LocalLearning + COSOTA
99.01
Accuracy· 2019-01-20
Training Neural Networks with Local Error Signals Code
#6VGG-5
98.98
Accuracy· 2021-03-21
ProgressiveSpinalNet architecture for FC layers Code
#7CN(d=32)
98.84
Accuracy
No paper
#8NSRL (log D) (d=16)
98.81
Accuracy
No paper
#9CN(d=16)
98.8
Accuracy
No paper
#10Resnet-152
98.79
Accuracy· 2019-05-22
A Comprehensive Study of ImageNet Pre-Training for Historical Document Image Analysis
#11R-ExplaiNet-26
98.78
Accuracy· 2024-10-31
Learning local discrete features in explainable-by-design convolutional neural networks Code
#12ResNet-14
98.75
Accuracy· 2022-03-29
CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters Code
#13NSRL (WGAN) (d=32)
98.72
Accuracy
No paper
#14NSRL (WGAN) (d=8)
98.68
Accuracy
No paper
#15NSRL (WGAN) (d=16)
98.66
Accuracy
No paper
#16NSRL (log D) (d=32)
98.63
Accuracy
No paper
#17NSRL (log D) (d=8)
98.61
Accuracy
No paper
#18CN(d=8)
98.6
Accuracy
No paper
#19Efficient Capsnet
98.43
Accuracy
No paperCode
#20PreActResNet-18 + Input MixupSOTA
98.41
Accuracy· 2017-10-25
mixup: Beyond Empirical Risk Minimization Code
#21PreActResNet-18SOTA
97.82
Accuracy· 2016-03-16
Identity Mappings in Deep Residual Networks Code
#22Convolutional Tsetlin Machine
96.3
Accuracy· 2019-05-23
The Convolutional Tsetlin Machine Code
#23KerCNN
93.13
Accuracy· 2019-10-18
KerCNNs: biologically inspired lateral connections for classification of corrupted images
#24linear/flexible model
79.9
Accuracy· 2020-01-13
Multi-Complementary and Unlabeled Learning for Arbitrary Losses and Models
#25FWD
79.5
Accuracy· 2020-01-13
Multi-Complementary and Unlabeled Learning for Arbitrary Losses and Models
#26Complementary-Label Learning
67.1
Accuracy· 2018-10-10
Complementary-Label Learning for Arbitrary Losses and Models Code