Image Classification On Svhn

评估指标

Percentage error

评测结果

各个模型在此基准测试上的表现结果

		Paper Title	Repository
KNN	77.93	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
TSVM	66.55	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
M1+KNN	65.63	Semi-Supervised Learning with Deep Generative Models
M1+TSVM	54.33	Semi-Supervised Learning with Deep Generative Models
M1+M2	36.02	Semi-Supervised Learning with Deep Generative Models
DGN	36.02	Semi-Supervised Learning with Deep Generative Models
Supervised CNN	28.87	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Auxiliary DGN	22.86	Auxiliary Deep Generative Models	-
DCGAN	22.48	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Skip DGN	16.61	Auxiliary Deep Generative Models	-
ANODE	16.5	Augmented Neural ODEs
SEER (RegNet10B)	13.6	Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision
Sign-symmetry	10.16	How Important is Weight Symmetry in Backpropagation?
Local Mixup LeNet	8.20	Preventing Manifold Intrusion with Locality: Local Mixup
Improved GAN	8.11	Improved Techniques for Training GANs
CLS-GAN	5.98	Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities
Convolutional neural networks applied to house numbers digit classification	4.9	-	-
FLSCNN	4.0	Enhanced Image Classification With a Fast-Learning Shallow Convolutional Neural Network	-
Deep Complex	3.3	Deep Complex Networks
Stochastic Pooling	2.8	Stochastic Pooling for Regularization of Deep Convolutional Neural Networks

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Image Classification On Svhn

评估指标

评测结果