Semi Supervised Image Classification On Svhn 3
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| SESEMI SSL (ConvNet) | 93.5 | Exploring Self-Supervised Regularization for Supervised and Semi-Supervised Learning | |
| FCE | 95.53 | Flow Contrastive Estimation of Energy-Based Models | |
| Dual Student | 96.04 | Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning | |
| Triple-GAN-V2 (CNN-13, no aug) | 96.16 | Triple Generative Adversarial Networks | |
| MixMatch | 96.36 | MixMatch: A Holistic Approach to Semi-Supervised Learning | |
| Triple-GAN-V2 (CNN-13) | 96.39 | Triple Generative Adversarial Networks |
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