Semi Supervised Image Classification On Cifar 11
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Accuracy |
|---|---|
| triple-generative-adversarial-networks | 91.59 |
| semi-supervised-learning-with-self-supervised | 82.12 |
| triple-generative-adversarial-networks | 81.81 |
| interpolation-consistency-training-for-semi | 84.52 |
| triple-generative-adversarial-networks | 85.00 |
| dual-student-breaking-the-limits-of-the | 85.83 |
| in-defense-of-pseudo-labeling-an-uncertainty-1 | 91.82 |
| mixmatch-a-holistic-approach-to-semi | 92.25 |
| lidam-semi-supervised-learning-with-localized | 89.04 |