Semi Supervised Image Classification On Cifar 12
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| SESEMI SSL (ConvNet) | 85.78 | Exploring Self-Supervised Regularization for Supervised and Semi-Supervised Learning | |
| MixMatch | 92.97 | MixMatch: A Holistic Approach to Semi-Supervised Learning | |
| ICT (CNN-13) | 90.74 | Interpolation Consistency Training for Semi-Supervised Learning | |
| Dual Student (600) | 89.28 | Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning |
0 of 4 row(s) selected.