Image Classification on CIFAR-10 40 labels (test)
97.94Top-1 Accuracy
AdaMatch
Updated 4d ago
Evaluation Results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
2023.10 | 97.94 | - | - | - | - | - | - | |
2023.10 | 97.93 | - | - | - | - | - | - | |
2023.10 | 97.92 | - | - | - | - | - | - | |
2023.10 | 97.78 | - | - | - | - | - | - | |
2023.10 | 97.44 | - | - | - | - | - | - | |
2023.10 | 97.16 | - | - | - | - | - | - | |
2023.10 | 96.63 | - | - | - | - | - | - | |
2023.08 | 94.92 | - | 95.09 | 94.66 | 95.12 | 94.78 | 94.95 | |
2023.08 | 94.39 | - | 95.34 | 95.16 | 92.63 | 93.76 | 95.1 | |
2023.10 | 93.33 | - | - | - | - | - | - | |
2023.10 | 88.21 | - | - | - | - | - | - | |
2023.10 | 87.15 | - | - | - | - | - | - | |
2022.02 | - | 47.54 | - | - | - | - | - | |
2022.02 | - | 29.05 | - | - | - | - | - | |
2022.02 | - | 13.81 | - | - | - | - | - | |
2022.02 | - | 9.6 | - | - | - | - | - |