OpenCodePapers

image-classification-on-svhn

Image Classification
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PaperCodePercentage errorPercentage correctModelNameReleaseDate
Rethinking Recurrent Neural Networks and Other Improvements for Image Classification✓ Link1.0E2E-M32020-07-30
Fast AutoAugment✓ Link1.1Wide-ResNet-28-10 (Fast AA)2019-05-01
ColorNet: Investigating the importance of color spaces for image classification✓ Link1.11Colornet2019-02-01
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules✓ Link1.2PBA [ho2019pba]2019-05-14
WaveMix: A Resource-efficient Neural Network for Image Analysis✓ Link1.27WaveMixLite-144/152022-05-28
Improved Regularization of Convolutional Neural Networks with Cutout✓ Link1.30Cutout2017-08-15
Regularizing Neural Networks via Adversarial Model Perturbation✓ Link1.35PyramidNet + AA (AMP)2020-10-10
Fixup Initialization: Residual Learning Without Normalization✓ Link1.4WRN + fixup init + mixup + cutout2019-01-27
Drop-Activation: Implicit Parameter Reduction and Harmonic Regularization✓ Link1.46Drop-Activation2018-11-14
Stochastic Optimization of Plain Convolutional Neural Networks with Simple methods✓ Link1.50SOPCNN2020-01-24
EraseReLU: A Simple Way to Ease the Training of Deep Convolution Neural Networks1.54EraseReLU2017-09-22
Wide Residual Networks✓ Link1.54Wide Residual Networks2016-05-23
Deep Competitive Pathway Networks✓ Link1.58CoPaNet-R-1642017-09-29
WaveMix-Lite: A Resource-efficient Neural Network for Image Analysis✓ Link1.58WaveMixLite2022-10-13
Densely Connected Convolutional Networks✓ Link1.59DenseNet2016-08-25
Residual Networks of Residual Networks: Multilevel Residual Networks✓ Link1.59Multilevel Residual Networks2016-08-09
Training Neural Networks with Local Error Signals✓ Link1.65VGG8B + LocalLearning + CO2019-01-20
Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree✓ Link1.7Tree+Max-Avg pooling2015-09-30
Wide Residual Networks✓ Link1.7Wide ResNet2016-05-23
Deep Networks with Stochastic Depth✓ Link1.75Stochastic Depth2016-03-30
[]()1.8RCNN-96
Batch-normalized Maxout Network in Network✓ Link1.8BNM NiN2015-11-09
Competitive Multi-scale Convolution1.8CMsC2015-11-18
[]()1.9Regularization of Neural Networks using DropConnect
Deeply-Supervised Nets✓ Link1.9DSN2014-09-18
[]()1.9MLR DNN
On the Importance of Normalisation Layers in Deep Learning with Piecewise Linear Activation Units2.0MIM2015-08-03
FractalNet: Ultra-Deep Neural Networks without Residuals✓ Link2.01FractalNet2016-05-24
Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks✓ Link2.2DCNN2013-12-20
BinaryConnect: Training Deep Neural Networks with binary weights during propagations✓ Link2.2BinaryConnect2015-11-02
EXACT: How to Train Your Accuracy✓ Link2.21EXACT (WRN-16-8)2022-05-19
EnAET: A Self-Trained framework for Semi-Supervised and Supervised Learning with Ensemble Transformations✓ Link2.22EnAET2019-11-21
Regularizing Neural Networks via Adversarial Model Perturbation✓ Link2.30PreActResNet18 (AMP)2020-10-10
Network In Network✓ Link2.35Network in Network2013-12-16
ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks✓ Link2.4ReNet2015-05-03
Maxout Networks✓ Link2.5Maxout2013-02-18
MixMatch: A Holistic Approach to Semi-Supervised Learning✓ Link2.59MixMatch2019-05-06
Benchopt: Reproducible, efficient and collaborative optimization benchmarks✓ Link2.65ResNet-182022-06-27
Stochastic Pooling for Regularization of Deep Convolutional Neural Networks✓ Link2.8Stochastic Pooling2013-01-16
Deep Complex Networks✓ Link3.3Deep Complex2017-05-27
Enhanced Image Classification With a Fast-Learning Shallow Convolutional Neural Network4.0FLSCNN2015-03-16
[]()4.9Convolutional neural networks applied to house numbers digit classification
Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities✓ Link5.98CLS-GAN2017-01-23
Improved Techniques for Training GANs✓ Link8.11Improved GAN2016-06-10
Preventing Manifold Intrusion with Locality: Local Mixup✓ Link8.20Local Mixup LeNet2022-01-12
How Important is Weight Symmetry in Backpropagation?✓ Link10.16Sign-symmetry2015-10-17
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision✓ Link13.6SEER (RegNet10B)2022-02-16
Augmented Neural ODEs✓ Link16.5ANODE2019-04-02
Auxiliary Deep Generative Models✓ Link16.61Skip DGN2016-02-17
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks✓ Link22.48DCGAN2015-11-19
Auxiliary Deep Generative Models✓ Link22.86Auxiliary DGN2016-02-17
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks✓ Link28.87Supervised CNN2015-11-19
Semi-Supervised Learning with Deep Generative Models✓ Link36.02M1+M22014-06-20
Semi-Supervised Learning with Deep Generative Models✓ Link36.02DGN2014-06-20
Semi-Supervised Learning with Deep Generative Models✓ Link54.33M1+TSVM2014-06-20
Semi-Supervised Learning with Deep Generative Models✓ Link65.63M1+KNN2014-06-20
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks✓ Link66.55TSVM2015-11-19
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks✓ Link77.93KNN2015-11-19
Automatic Data Augmentation via Invariance-Constrained Learning✓ Link98.15Wide-ResNet-28-102022-09-29
Connection Reduction of DenseNet for Image Recognition✓ Link94.52ShortNet2-432022-08-02
Efficient Convolutional Neural Networks on Raspberry Pi for Image Classification✓ Link94.33TripleNet-B2022-04-02
ThreshNet: An Efficient DenseNet Using Threshold Mechanism to Reduce Connections✓ Link94.32ThreshNet792022-01-09
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