Image Classification on CIFAR-10 uniform label noise, η=0.1 (test)
65.08AccuracyTCCE
Evaluation results
| Method | Links | |
|---|---|---|
| TCCEparameter=0.22026.03 | 65.08 | |
| GCEq=0.52026.03 | 64.7 | |
| TCCEparameter=0.12026.03 | 64.4 | |
| rSDNetβ=0, λ=-0.52026.03 | 64.08 | |
| rSDNetβ=0.05, λ=-0.72026.03 | 63.97 | |
| rSDNetβ=0.1, λ=-0.82026.03 | 63.77 | |
| rSDNetβ=0.05, λ=-0.52026.03 | 63.75 | |
| FCLµ=0.52026.03 | 63.72 | |
| rSDNetβ=0.1, λ=-0.72026.03 | 63.68 | |
| rSDNetβ=0.1, λ=-0.52026.03 | 63.61 | |
| TCCEparameter=0.32026.03 | 63.41 | |
| rSDNetβ=0.05, λ=-0.82026.03 | 63.23 | |
| rSDNetβ=0.3, λ=-0.52026.03 | 62.7 | |
| rSDNetβ=0.3, λ=-0.82026.03 | 62.53 | |
| rSDNetβ=0.5, λ=-0.72026.03 | 62.4 | |
| rSDNetβ=0.1, λ=-12026.03 | 62.21 | |
| rSDNetβ=0.3, λ=-12026.03 | 62.14 | |
| rSDNetβ=0.7, λ=-12026.03 | 62.1 | |
| rSDNetβ=0.3, λ=-0.72026.03 | 62.03 | |
| rSDNetβ=0.5, λ=-0.82026.03 | 61.91 | |
| rSDNetβ=0.7, λ=02026.03 | 61.72 | |
| rSDNetβ=0.5, λ=-0.52026.03 | 61.68 | |
| rSDNetβ=1, λ=02026.03 | 61.63 | |
| rSDNetβ=0.7, λ=-0.52026.03 | 61.51 | |
| rSDNetβ=0.7, λ=-0.82026.03 | 61.38 | |
| rSDNetβ=0.5, λ=-12026.03 | 61.26 | |
| rSDNetβ=0.7, λ=-0.72026.03 | 61.25 | |
| rSDNetβ=0.7, λ=0.52026.03 | 60.99 | |
| FCLµ=0.252026.03 | 60.87 | |
| rSDNetβ=0.5, λ=02026.03 | 60.79 | |
| SCEα=0.5, β=12026.03 | 60.13 | |
| rSDNetβ=0.3, λ=02026.03 | 59.52 | |
| rSDNetβ=0.1, λ=02026.03 | 59.29 | |
| rSDNetβ=0.5, λ=0.52026.03 | 59.01 | |
| CCE2026.03 | 58.84 | |
| GCEq=0.72026.03 | 55.32 | |
| rKLD2026.03 | 54.45 | |
| FCLµ=0.752026.03 | 45.19 | |
| rSDNetβ=0, λ=-0.72026.03 | 45.19 | |
| rSDNetβ=0.05, λ=-12026.03 | 36.88 | |
| rSDNetβ=0, λ=-0.82026.03 | 36.71 | |
| FCLµ=02026.03 | 10 | |
| MAE2026.03 | 9.97 |