Image Classification on SVHN

Metric: Percentage error (lower is better)

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#	Model↕	Percentage error▲	Extra Data	Paper	Date↕	Code
1	E2E-M3	1	No	Rethinking Recurrent Neural Networks and Other I...	2020-07-30	Code
2	Wide-ResNet-28-10 (Fast AA)	1.1	No	Fast AutoAugment	2019-05-01	Code
3	Colornet	1.11	No	ColorNet: Investigating the importance of color ...	2019-02-01	Code
4	PBA [ho2019pba]	1.2	No	Population Based Augmentation: Efficient Learnin...	2019-05-14	Code
5	WaveMixLite-144/15	1.27	No	WaveMix: A Resource-efficient Neural Network for...	2022-05-28	Code
6	Cutout	1.3	No	Improved Regularization of Convolutional Neural ...	2017-08-15	Code
7	PyramidNet + AA (AMP)	1.35	No	Regularizing Neural Networks via Adversarial Mod...	2020-10-10	Code
8	WRN + fixup init + mixup + cutout	1.4	No	Fixup Initialization: Residual Learning Without ...	2019-01-27	Code
9	Drop-Activation	1.46	No	Drop-Activation: Implicit Parameter Reduction an...	2018-11-14	Code
10	SOPCNN	1.5	No	Stochastic Optimization of Plain Convolutional N...	2020-01-24	Code
11	EraseReLU	1.54	No	EraseReLU: A Simple Way to Ease the Training of ...	2017-09-22	-
12	Wide Residual Networks	1.54	No	Wide Residual Networks	2016-05-23	Code
13	CoPaNet-R-164	1.58	No	Deep Competitive Pathway Networks	2017-09-29	Code
14	WaveMixLite	1.58	No	-	-	Code
15	DenseNet	1.59	No	Densely Connected Convolutional Networks	2016-08-25	Code
16	Multilevel Residual Networks	1.59	No	Residual Networks of Residual Networks: Multilev...	2016-08-09	Code
17	VGG8B + LocalLearning + CO	1.65	No	Training Neural Networks with Local Error Signals	2019-01-20	Code
18	Tree+Max-Avg pooling	1.7	No	Generalizing Pooling Functions in Convolutional ...	2015-09-30	Code
19	Wide ResNet	1.7	No	Wide Residual Networks	2016-05-23	Code
20	Stochastic Depth	1.75	No	Deep Networks with Stochastic Depth	2016-03-30	Code
21	RCNN-96	1.8	No	-	-	-
22	BNM NiN	1.8	No	Batch-normalized Maxout Network in Network	2015-11-09	Code
23	CMsC	1.8	No	Competitive Multi-scale Convolution	2015-11-18	-
24	Regularization of Neural Networks using DropConnect	1.9	No	-	-	-
25	DSN	1.9	No	Deeply-Supervised Nets	2014-09-18	Code
26	MLR DNN	1.9	No	-	-	-
27	MIM	2	No	On the Importance of Normalisation Layers in Dee...	2015-08-03	-
28	FractalNet	2.01	No	FractalNet: Ultra-Deep Neural Networks without R...	2016-05-24	Code
29	DCNN	2.2	No	Multi-digit Number Recognition from Street View ...	2013-12-20	Code
30	BinaryConnect	2.2	No	BinaryConnect: Training Deep Neural Networks wit...	2015-11-02	Code
31	EXACT (WRN-16-8)	2.21	No	EXACT: How to Train Your Accuracy	2022-05-19	Code
32	EnAET	2.22	No	EnAET: A Self-Trained framework for Semi-Supervi...	2019-11-21	Code
33	PreActResNet18 (AMP)	2.3	No	Regularizing Neural Networks via Adversarial Mod...	2020-10-10	Code
34	Network in Network	2.35	No	Network In Network	2013-12-16	Code
35	ReNet	2.4	No	ReNet: A Recurrent Neural Network Based Alternat...	2015-05-03	Code
36	Maxout	2.5	No	Maxout Networks	2013-02-18	Code
37	MixMatch	2.59	No	MixMatch: A Holistic Approach to Semi-Supervised...	2019-05-06	Code
38	ResNet-18	2.65	No	Benchopt: Reproducible, efficient and collaborat...	2022-06-27	Code
39	Stochastic Pooling	2.8	No	Stochastic Pooling for Regularization of Deep Co...	2013-01-16	Code
40	Deep Complex	3.3	No	Deep Complex Networks	2017-05-27	Code
41	FLSCNN	4	No	Enhanced Image Classification With a Fast-Learni...	2015-03-16	-
42	Convolutional neural networks applied to house numbers digit classification	4.9	No	-	-	-
43	CLS-GAN	5.98	No	Loss-Sensitive Generative Adversarial Networks o...	2017-01-23	Code
44	Improved GAN	8.11	No	Improved Techniques for Training GANs	2016-06-10	Code
45	Local Mixup LeNet	8.2	No	Preventing Manifold Intrusion with Locality: Loc...	2022-01-12	Code
46	Sign-symmetry	10.16	No	How Important is Weight Symmetry in Backpropagat...	2015-10-17	Code
47	SEER (RegNet10B)	13.6	Yes	Vision Models Are More Robust And Fair When Pret...	2022-02-16	Code
48	ANODE	16.5	No	Augmented Neural ODEs	2019-04-02	Code
49	Skip DGN	16.61	No	Auxiliary Deep Generative Models	2016-02-17	Code
50	DCGAN	22.48	No	Unsupervised Representation Learning with Deep C...	2015-11-19	Code
51	Auxiliary DGN	22.86	No	Auxiliary Deep Generative Models	2016-02-17	Code
52	Supervised CNN	28.87	No	Unsupervised Representation Learning with Deep C...	2015-11-19	Code
53	M1+M2	36.02	No	Semi-Supervised Learning with Deep Generative Mo...	2014-06-20	Code
54	DGN	36.02	No	Semi-Supervised Learning with Deep Generative Mo...	2014-06-20	Code
55	M1+TSVM	54.33	No	Semi-Supervised Learning with Deep Generative Mo...	2014-06-20	Code
56	M1+KNN	65.63	No	Semi-Supervised Learning with Deep Generative Mo...	2014-06-20	Code
57	TSVM	66.55	No	Unsupervised Representation Learning with Deep C...	2015-11-19	Code
58	KNN	77.93	No	Unsupervised Representation Learning with Deep C...	2015-11-19	Code