Image Classification on CIFAR-10 uniform label noise, η=0.3 (test)
57.12AccuracyrSDNet
Evaluation results
| Method | Links | |
|---|---|---|
| rSDNetβ=0.1, λ=-12026.03 | 57.12 | |
| rSDNetβ=0.05, λ=-0.82026.03 | 57.04 | |
| rSDNetβ=0.1, λ=-0.82026.03 | 56.42 | |
| rSDNetβ=0.05, λ=-0.72026.03 | 56.39 | |
| TCCEparameter=0.32026.03 | 55.76 | |
| TCCEparameter=0.22026.03 | 54.76 | |
| rSDNetβ=0.1, λ=-0.72026.03 | 54.71 | |
| GCEq=0.52026.03 | 54.29 | |
| FCLµ=0.52026.03 | 54.12 | |
| rSDNetβ=0.05, λ=-0.52026.03 | 53.67 | |
| rSDNetβ=0, λ=-0.52026.03 | 53.42 | |
| rSDNetβ=0.1, λ=-0.52026.03 | 52.07 | |
| TCCEparameter=0.12026.03 | 50.75 | |
| rSDNetβ=0.05, λ=-12026.03 | 50.66 | |
| FCLµ=0.752026.03 | 50.3 | |
| GCEq=0.72026.03 | 50.21 | |
| rSDNetβ=0.3, λ=-0.82026.03 | 50.16 | |
| rSDNetβ=0, λ=-0.72026.03 | 49.98 | |
| rSDNetβ=0.3, λ=-12026.03 | 49.95 | |
| rSDNetβ=0.3, λ=-0.72026.03 | 48.63 | |
| rSDNetβ=0.3, λ=-0.52026.03 | 48.53 | |
| rSDNetβ=0.5, λ=-0.72026.03 | 47.19 | |
| rSDNetβ=0.7, λ=-0.72026.03 | 46.91 | |
| rSDNetβ=0.5, λ=-0.52026.03 | 46.89 | |
| rSDNetβ=0.5, λ=-0.82026.03 | 46.78 | |
| rSDNetβ=0.5, λ=-12026.03 | 46.74 | |
| rSDNetβ=0.7, λ=02026.03 | 46.28 | |
| rSDNetβ=0.7, λ=-0.82026.03 | 46.1 | |
| rSDNetβ=1, λ=02026.03 | 45.94 | |
| rSDNetβ=0.7, λ=-0.52026.03 | 45.74 | |
| rSDNetβ=0.7, λ=-12026.03 | 45.67 | |
| rSDNetβ=0.7, λ=0.52026.03 | 45.27 | |
| SCEα=0.5, β=12026.03 | 45.17 | |
| rSDNetβ=0.5, λ=02026.03 | 44.89 | |
| rSDNetβ=0.3, λ=02026.03 | 44.83 | |
| FCLµ=0.252026.03 | 44.68 | |
| rSDNetβ=0.1, λ=02026.03 | 43.78 | |
| rSDNetβ=0.5, λ=0.52026.03 | 43.38 | |
| CCE2026.03 | 43.3 | |
| rSDNetβ=0, λ=-0.82026.03 | 42.58 | |
| rKLD2026.03 | 40.24 | |
| MAE2026.03 | 10.06 | |
| FCLµ=02026.03 | 10 |