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image-classification-on-stl-10

Image Classification
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PaperCodePercentage correctFLOPSPARAMSModelNameReleaseDate
A Continual Development Methodology for Large-scale Multitask Dynamic ML Systems✓ Link99.64µ2Net+ (ViT-L/16)2022-09-15
Revisiting a kNN-based Image Classification System with High-capacity Storage99.6kNN-CLIP2022-04-03
SpinalNet: Deep Neural Network with Gradual Input✓ Link98.66Wide-ResNet-101 (Spinal FC)2020-07-07
Toward Understanding Supervised Representation Learning with RKHS and GAN98.45CN(d=128)2021-01-01
Toward Understanding Supervised Representation Learning with RKHS and GAN98.36CN(d=64)2021-01-01
Toward Understanding Supervised Representation Learning with RKHS and GAN98.36NSRL+CN(d=128)2021-01-01
Toward Understanding Supervised Representation Learning with RKHS and GAN98.34NSRL+CN(d=32)2021-01-01
Toward Understanding Supervised Representation Learning with RKHS and GAN98.24NSRL+CN(d=64)2021-01-01
Toward Understanding Supervised Representation Learning with RKHS and GAN98.17CN(d=32)2021-01-01
Neural Architecture Transfer✓ Link97.9573M7.5MNAT-M42020-05-12
Neural Architecture Transfer✓ Link97.8436M7.5MNAT-M32020-05-12
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision✓ Link97.310000MSEER (RegNet10B)2022-02-16
Neural Architecture Transfer✓ Link97.2303M5.1MNAT-M22020-05-12
Generative Pretraining from Pixels✓ Link97.1iGPT-L2020-07-17
Neural Architecture Transfer✓ Link96.7240M4.4MNAT-M12020-05-12
EnAET: A Self-Trained framework for Semi-Supervised and Supervised Learning with Ensemble Transformations✓ Link95.48EnAET2019-11-21
SpinalNet: Deep Neural Network with Gradual Input✓ Link95.44VGG-19bn2020-07-07
Your Diffusion Model is Secretly a Zero-Shot Classifier✓ Link95.4Diffusion Classifier (zero-shot)2023-03-28
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence✓ Link94.83FixMatch (CTA)2020-01-21
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence✓ Link94.77ReMixMatch2020-01-21
Learning Representations by Maximizing Mutual Information Across Views✓ Link94.5AMDIM2019-06-03
MixMatch: A Holistic Approach to Semi-Supervised Learning✓ Link94.41MixMatch2019-05-06
Generative Pretraining from Pixels✓ Link94.2AMDIM-L2020-07-17
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring✓ Link93.82ReMixMatch (K=4)2019-11-21
A Framework For Contrastive Self-Supervised Learning And Designing A New Approach✓ Link93.80AMDIM2020-08-31
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring✓ Link93.23ReMixMatch (K=1)2019-11-21
Increasing Trustworthiness of Deep Neural Networks via Accuracy Monitoring93.19MP*2020-07-03
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence✓ Link92.34UDA2020-01-21
A Framework For Contrastive Self-Supervised Learning And Designing A New Approach✓ Link92.15YADIM2020-08-31
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence✓ Link92.02FixMatch (RA)2020-01-21
NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search✓ Link92.0NSGANetV22020-07-20
Scale-Equivariant Steerable Networks✓ Link91.49SESN2019-10-14
Harmonic Networks with Limited Training Samples✓ Link90.45Harmonic WRN-16-82019-04-30
General $E(2)$-Equivariant Steerable CNNs✓ Link90.20wrn16/8 D8 D4 D12019-11-19
DLME: Deep Local-flatness Manifold Embedding✓ Link90.1DLME (ResNet-50, linear)2022-07-07
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring✓ Link89.82MixMatch2019-11-21
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence✓ Link89.59MixMatch2020-01-21
General $E(2)$-Equivariant Steerable CNNs✓ Link89.43wrn16/8* D8 D4 D12019-11-19
General $E(2)$-Equivariant Steerable CNNs✓ Link88.95wrn16/8* D1 D1 D12019-11-19
General $E(2)$-Equivariant Steerable CNNs✓ Link88.83wrn16/8 D1 D1 D12019-11-19
Invariant Information Clustering for Unsupervised Image Classification and Segmentation✓ Link88.8IIC2018-07-17
MixMatch: A Holistic Approach to Semi-Supervised Learning✓ Link88.80IIC2019-05-06
Stochastic Optimization of Plain Convolutional Neural Networks with Simple methods✓ Link88.08SOPCNN2020-01-24
Increasing Trustworthiness of Deep Neural Networks via Accuracy Monitoring88.03TS2020-07-03
MixMatch: A Holistic Approach to Semi-Supervised Learning✓ Link87.36CutOut2019-05-06
Improved Regularization of Convolutional Neural Networks with Cutout✓ Link87.26Cutout2017-08-15
General $E(2)$-Equivariant Steerable CNNs✓ Link87.26wrn16/82019-11-19
Reversible Architectures for Arbitrarily Deep Residual Neural Networks✓ Link85.5Hamiltonian2017-09-12
Learning Class Unique Features in Fine-Grained Visual Classification85.42ResNet-18+MM+FRL2020-11-22
Reversible Architectures for Arbitrarily Deep Residual Neural Networks✓ Link84.6MidPoint2017-09-12
Image Augmentation for Object Image Classification Based On Combination of PreTrained CNN and SVM84.38cosine function2018-01-01
HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning84.10HybridNet2018-07-30
Reversible Architectures for Arbitrarily Deep Residual Neural Networks✓ Link83.7Leapfrog2017-09-12
Image Augmentation for Object Image Classification Based On Combination of PreTrained CNN and SVM83.47skewing2018-01-01
Image Augmentation for Object Image Classification Based On Combination of PreTrained CNN and SVM83.45elastic distortion(2)2018-01-01
Probabilistic Structural Latent Representation for Unsupervised Embedding83.2PSLR-knn2020-06-01
Image Augmentation for Object Image Classification Based On Combination of PreTrained CNN and SVM83.00elastic distortion(1)2018-01-01
HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning82.00ResNet baseline2018-07-30
Putting An End to End-to-End: Gradient-Isolated Learning of Representations✓ Link81.9Greedy InfoMax (GIM)2019-05-28
Image Augmentation for Object Image Classification Based On Combination of PreTrained CNN and SVM81.45rotation2018-01-01
Extended Batch Normalization81.04ResNet18(BN, 4)2020-03-12
Training Neural Networks with Local Error Signals✓ Link80.75VGG8B + LocalLearning + CO2019-01-20
Extended Batch Normalization79.3ResNet18(GN, 4)2020-03-12
Probabilistic Structural Latent Representation for Unsupervised Embedding78.8PSLR-Linear2020-06-01
Extended Batch Normalization78.65ResNet18(BN, 128)2020-03-12
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence✓ Link78.57Mean Teacher2020-01-21
A Framework For Contrastive Self-Supervised Learning And Designing A New Approach✓ Link78.36CPC†2020-08-31
Deep Neural Networks Motivated by Partial Differential Equations✓ Link78.3Hamiltonian2018-04-12
Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks✓ Link77.8CC-GAN²2016-11-19
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring✓ Link77.80CC-GAN2019-11-21
Deep Neural Networks Motivated by Partial Differential Equations✓ Link77.0Parabolic2018-04-12
Scaling the Scattering Transform: Deep Hybrid Networks✓ Link76.6Scat + WRN 20-82017-03-27
Extended Batch Normalization76.49ResNet18(EBN, 4)2020-03-12
Scaling the Scattering Transform: Deep Hybrid Networks✓ Link75.7Exemplar CNN2017-03-27
Extended Batch Normalization75.57ResNet18(EBN, 128)2020-03-12
Scaling the Scattering Transform: Deep Hybrid Networks✓ Link74.33Stacked what-where AE2017-03-27
HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning74.33SWWAE2018-07-30
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring✓ Link74.30SWWAE2019-11-21
Stacked What-Where Auto-encoders✓ Link74.3SWWAE2015-06-08
Deep Neural Networks Motivated by Partial Differential Equations✓ Link74.3Second-order2018-04-12
Convolutional Clustering for Unsupervised Learning74.1Convolutional Clustering2015-11-19
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence✓ Link73.77Π-Model2020-01-21
Discriminative Unsupervised Feature Learning with Convolutional Neural Networks✓ Link72.8Discriminative Unsupervised Feature Learning with Convolutional Neural Networks2014-12-01
Extended Batch Normalization72.66ResNet18(GN, 128)2020-03-12
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence✓ Link72.01Pseudo-Labeling2020-01-21
Increasing Trustworthiness of Deep Neural Networks via Accuracy Monitoring71.65Entropy2020-07-03
Don’t Wait, Just Weight: Improving Unsupervised Representations by Learning Goal-Driven Instance Weights71.12BDW2020-06-22
Increasing Trustworthiness of Deep Neural Networks via Accuracy Monitoring71.05MP2020-07-03
WaveMix: A Resource-efficient Neural Network for Image Analysis✓ Link70.88WaveMixLite-256/72022-05-28
Scaling the Scattering Transform: Deep Hybrid Networks✓ Link70.7CNN2017-03-27
An Analysis of Unsupervised Pre-training in Light of Recent Advances✓ Link70.2An Analysis of Unsupervised Pre-training in Light of Recent Advances2014-12-20
Multi-Task Bayesian Optimization✓ Link70.1Multi-Task Bayesian Optimization2013-12-01
Don’t Wait, Just Weight: Improving Unsupervised Representations by Learning Goal-Driven Instance Weights69.15NN-Weighter2020-06-22
Increasing Trustworthiness of Deep Neural Networks via Accuracy Monitoring68.62Accuracy Monitoring2020-07-03
Unsupervised Feature Learning with C-SVDDNet68.2C-SVDDNet2014-12-23
Don’t Wait, Just Weight: Improving Unsupervised Representations by Learning Goal-Driven Instance Weights68.19RotNet2020-06-22
Committees of deep feedforward networks trained with few data68DFF Committees2014-06-23
Scaling the Scattering Transform: Deep Hybrid Networks✓ Link64.6Hierarchical Matching Pursuit (HMP)2017-03-27
Don’t Wait, Just Weight: Improving Unsupervised Representations by Learning Goal-Driven Instance Weights63.13L2RW2020-06-22
Discriminative Learning of Sum-Product Networks62.3Discriminative Learning of Sum-Product Networks2011-01-01
Convolutional Kernel Networks62.3CKN2014-06-12
Selective Unsupervised Feature Learning with Convolutional Neural Network (S-CNN)61.94S-CNN2016-06-07
A Framework For Contrastive Self-Supervised Learning And Designing A New Approach✓ Link61Simulated Fixations2020-08-31
No more meta-parameter tuning in unsupervised sparse feature learning61No more meta-parameter tuning in unsupervised sparse feature learning2014-02-24
Scaling the Scattering Transform: Deep Hybrid Networks✓ Link60.2Convolutional K-means Network2017-03-27
Receptive Fields without Spike-Triggering60.1Receptive Fields2007-12-01
Effective Version Space Reduction for Convolutional Neural Networks59.45PWD2020-06-22
Effective Version Space Reduction for Convolutional Neural Networks59.33GVD2020-06-22
Effective Version Space Reduction for Convolutional Neural Networks59.13VR2020-06-22
Effective Version Space Reduction for Convolutional Neural Networks58.93Core SET2020-06-22
Effective Version Space Reduction for Convolutional Neural Networks58.84GE2020-06-22
Effective Version Space Reduction for Convolutional Neural Networks58.81DFAL2020-06-22
Effective Version Space Reduction for Convolutional Neural Networks58.15Random2020-06-22
Effective Version Space Reduction for Convolutional Neural Networks57.35BALD-MCD2020-06-22
How Important is Weight Symmetry in Backpropagation?✓ Link57.32Sign-symmetry2015-10-17
Effective Version Space Reduction for Convolutional Neural Networks57.31M2-PWD2020-06-22
ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning52.9soft ica2011-12-01
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