Image Classification on SVHN standard (test)
94.5AccuracyOurs
Evaluation Results
| Method | Links | |
|---|---|---|
| OursP(s=1)=0.3, Base loss=MAE, Backbone=ResNet-342026.05 | 94.5 | |
| OursP(s=1)=0.7, Base loss=MAE, Backbone=ResNet-342026.05 | 94.48 | |
| Trans-PRODENP(s=1)=0.7, Base loss=CCE, Backbone=ResNet-342026.05 | 93.02 | |
| Trans-PRODENP(s=1)=0.3, Base loss=CCE, Backbone=ResNet-342026.05 | 92.56 | |
| Trans-MCL (EXP)P(s=1)=0.3, Base loss=EXP, Backbone=ResNet-342026.05 | 92.26 | |
| Trans-MCL (EXP)P(s=1)=0.7, Base loss=EXP, Backbone=ResNet-342026.05 | 92.07 | |
| Trans-PRODENP(s=1)=0.5, Base loss=CCE, Backbone=ResNet-342026.05 | 91.16 | |
| Trans-MCL (EXP)P(s=1)=0.5, Base loss=EXP, Backbone=ResNet-342026.05 | 90.23 | |
| OursP(s=1)=0.5, Base loss=MAE, Backbone=ResNet-342026.05 | 89.97 | |
| Trans-PLL-AvgP(s=1)=0.3, Base loss=MAE, Backbone=ResNet-342026.05 | 80.62 | |
| Trans-PLL-AvgP(s=1)=0.5, Base loss=MAE, Backbone=ResNet-342026.05 | 80.58 | |
| Trans-MCL (MAE)P(s=1)=0.3, Base loss=MAE, Backbone=ResNet-342026.05 | 78.83 | |
| Trans-PLL-AvgP(s=1)=0.7, Base loss=MAE, Backbone=ResNet-342026.05 | 78.82 | |
| Trans-MCL (MAE)P(s=1)=0.5, Base loss=MAE, Backbone=ResNet-342026.05 | 73.3 | |
| Trans-MCL (MAE)P(s=1)=0.7, Base loss=MAE, Backbone=ResNet-342026.05 | 66.67 |