Image Classification on CIFAR-10 noisy (test)
78.41AccuracyF-Mean CNN
Evaluation results
| Method | Links | ||
|---|---|---|---|
| F-Mean CNNArchitecture=CNN2026.03 | 78.41 | 0.895 | |
| Standard CNNArchitecture=CNN2026.03 | 77.73 | 0.89 | |
| Three-way CNNArchitecture=CNN2026.03 | 77.52 | 0.898 | |
| Gaussian CNNArchitecture=CNN2026.03 | 77.33 | 0.893 | |
| Three-way HybridArchitecture=MLP2026.03 | 54.72 | 0.991 | |
| F-Mean HybridArchitecture=MLP2026.03 | 53.56 | 0.971 | |
| Gaussian HybridArchitecture=MLP2026.03 | 53.3 | 0.982 | |
| BaselineArchitecture=MLP2026.03 | 51.45 | 0.984 |