Image Classification on KMNIST standard (test)
89.68AccuracyOurs
Evaluation Results
| Method | Links | |
|---|---|---|
| OursP(s=1)=0.5, Base loss=MAE, Backbone=CNN2026.05 | 89.68 | |
| Trans-PRODENP(s=1)=0.5, Base loss=CCE, Backbone=CNN2026.05 | 89.53 | |
| OursP(s=1)=0.7, Base loss=MAE, Backbone=CNN2026.05 | 89.26 | |
| Trans-PRODENP(s=1)=0.7, Base loss=CCE, Backbone=CNN2026.05 | 89.22 | |
| OursP(s=1)=0.3, Base loss=MAE, Backbone=CNN2026.05 | 89.13 | |
| Trans-PRODENP(s=1)=0.3, Base loss=CCE, Backbone=CNN2026.05 | 89.01 | |
| Trans-MCL (MAE)P(s=1)=0.5, Base loss=MAE, Backbone=CNN2026.05 | 88.33 | |
| Trans-MCL (MAE)P(s=1)=0.7, Base loss=MAE, Backbone=CNN2026.05 | 86.73 | |
| Trans-MCL (MAE)P(s=1)=0.3, Base loss=MAE, Backbone=CNN2026.05 | 84.64 | |
| Trans-MCL (EXP)P(s=1)=0.5, Base loss=EXP, Backbone=CNN2026.05 | 84.34 | |
| Trans-MCL (EXP)P(s=1)=0.7, Base loss=EXP, Backbone=CNN2026.05 | 82.35 | |
| Trans-MCL (EXP)P(s=1)=0.3, Base loss=EXP, Backbone=CNN2026.05 | 81.79 | |
| Trans-PLL-AvgP(s=1)=0.5, Base loss=MAE, Backbone=CNN2026.05 | 73.1 | |
| Trans-PLL-AvgP(s=1)=0.3, Base loss=MAE, Backbone=CNN2026.05 | 69.63 | |
| Trans-PLL-AvgP(s=1)=0.7, Base loss=MAE, Backbone=CNN2026.05 | 69.27 |