Image Classification on SVHN, 1000 labels

Metric: Accuracy (higher is better)

LeaderboardDataset

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Results

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#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	EnAET	97.58	No	EnAET: A Self-Trained framework for Semi-Supervi...	2019-11-21	Code
2	UDA	97.54	No	Unsupervised Data Augmentation for Consistency T...	2019-04-29	Code
3	ReMixMatch	97.17	No	ReMixMatch: Semi-Supervised Learning with Distri...	2019-11-21	Code
4	MixMatch	96.73	No	MixMatch: A Holistic Approach to Semi-Supervised...	2019-05-06	Code
5	Triple-GAN-V2 (CNN-13)	96.55	No	Triple Generative Adversarial Networks	2019-12-20	Code
6	ICT (WRN-28-2)	96.47	No	Interpolation Consistency Training for Semi-Supe...	2019-03-09	Code
7	R2-D2 (CNN-13)	96.36	No	Repetitive Reprediction Deep Decipher for Semi-S...	2019-08-09	Code
8	FCE	96.13	No	Flow Contrastive Estimation of Energy-Based Models	2019-12-02	Code
9	ICT	96.11	No	Interpolation Consistency Training for Semi-Supe...	2019-03-09	Code
10	Mean Teacher	96.05	No	Mean teachers are better role models: Weight-ave...	2017-03-06	Code
11	Triple-GAN-V2 (CNN-13, no aug)	96.04	No	Triple Generative Adversarial Networks	2019-12-20	Code
12	VAT	94.58	No	Virtual Adversarial Training: A Regularization M...	2017-04-13	Code
13	SESEMI SSL (ConvNet)	94.41	No	Exploring Self-Supervised Regularization for Sup...	2019-06-25	Code
14	GAN	91.89	No	Improved Techniques for Training GANs	2016-06-10	Code

#1EnAETSOTA
97.58
Accuracy· 2019-11-21
EnAET: A Self-Trained framework for Semi-Supervised and Supervised Learning with Ensemble Transformations Code
#2UDASOTA
97.54
Accuracy· 2019-04-29
Unsupervised Data Augmentation for Consistency Training Code
#3ReMixMatch
97.17
Accuracy· 2019-11-21
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring Code
#4MixMatch
96.73
Accuracy· 2019-05-06
MixMatch: A Holistic Approach to Semi-Supervised Learning Code
#5Triple-GAN-V2 (CNN-13)
96.55
Accuracy· 2019-12-20
Triple Generative Adversarial Networks Code
#6ICT (WRN-28-2)SOTA
96.47
Accuracy· 2019-03-09
Interpolation Consistency Training for Semi-Supervised Learning Code
#7R2-D2 (CNN-13)
96.36
Accuracy· 2019-08-09
Repetitive Reprediction Deep Decipher for Semi-Supervised Learning Code
#8FCE
96.13
Accuracy· 2019-12-02
Flow Contrastive Estimation of Energy-Based Models Code
#9ICT
96.11
Accuracy· 2019-03-09
Interpolation Consistency Training for Semi-Supervised Learning Code
#10Mean TeacherSOTA
96.05
Accuracy· 2017-03-06
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Code
#11Triple-GAN-V2 (CNN-13, no aug)
96.04
Accuracy· 2019-12-20
Triple Generative Adversarial Networks Code
#12VAT
94.58
Accuracy· 2017-04-13
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning Code
#13SESEMI SSL (ConvNet)
94.41
Accuracy· 2019-06-25
Exploring Self-Supervised Regularization for Supervised and Semi-Supervised Learning Code
#14GANSOTA
91.89
Accuracy· 2016-06-10
Improved Techniques for Training GANs Code