Image Classification on Color-MNIST Label Noise 0.2 (test)
0.9099Mean AccuracyGIW
Evaluation Results
| Method | Links | |
|---|---|---|
| GIWShift type=Label Noise, Shift intensity=0.2, Case=iii, Trials=52023.05 | 0.9099 | |
| Pretrain-valShift type=Label Noise, Shift intensity=0.2, Case=iii, Trials=52023.05 | 0.6021 | |
| MW-NetShift type=Label Noise, Shift intensity=0.2, Case=iii, Trials=52023.05 | 0.4 | |
| R-DIWShift type=Label Noise, Shift intensity=0.2, Case=iii, Trials=52023.05 | 0.3825 | |
| DIWShift type=Label Noise, Shift intensity=0.2, Case=iii, Trials=52023.05 | 0.3804 | |
| Val-onlyShift type=Label Noise, Shift intensity=0.2, Case=iii, Trials=52023.05 | 0.3119 | |
| ReweightShift type=Label Noise, Shift intensity=0.2, Case=iii, Trials=52023.05 | 0.3082 |