Image Classification on Noisy MNIST (AWGN)
Metric: Accuracy (higher is better)
LeaderboardDataset
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Results
Submit a result| # | Model↕ | Accuracy▼ | Extra Data | Paper | Date↕ | Code |
|---|---|---|---|---|---|---|
| 1 | PCGAN-CHAR | 98.43 | No | PCGAN-CHAR: Progressively Trained Classifier Gen... | 2019-08-11 | - |
| 2 | Pixel-level RC | 97.62 | No | Pixel-level Reconstruction and Classification fo... | 2018-06-21 | - |
- 98.43Accuracy· 2019-08-11
- 97.62Accuracy· 2018-06-21