Metric: Accuracy (higher is better)
| # | Model↕ | Accuracy▼ | Extra Data | Paper | Date↕ | Code |
|---|---|---|---|---|---|---|
| 1 | MixMatch | 92.25 | No | MixMatch: A Holistic Approach to Semi-Supervised... | 2019-05-06 | Code |
| 2 | UPS (CNN-13) | 91.82 | No | In Defense of Pseudo-Labeling: An Uncertainty-Aw... | 2021-01-15 | Code |
| 3 | Triple-GAN-V2 (ResNet-26) | 91.59 | No | Triple Generative Adversarial Networks | 2019-12-20 | Code |
| 4 | LiDAM | 89.04 | No | LiDAM: Semi-Supervised Learning with Localized D... | 2020-10-13 | - |
| 5 | Dual Student (600) | 85.83 | No | Dual Student: Breaking the Limits of the Teacher... | 2019-09-03 | Code |
| 6 | Triple-GAN-V2 (CNN-13) | 85 | No | Triple Generative Adversarial Networks | 2019-12-20 | Code |
| 7 | ICT (CNN-13) | 84.52 | No | Interpolation Consistency Training for Semi-Supe... | 2019-03-09 | Code |
| 8 | SESEMI SSL (ConvNet) | 82.12 | No | Exploring Self-Supervised Regularization for Sup... | 2019-06-25 | Code |
| 9 | Triple-GAN-V2 (CNN-13, no aug) | 81.81 | No | Triple Generative Adversarial Networks | 2019-12-20 | Code |