Visual Robustness on Track 1
96.8ASRSimpleCNN + GLU + Norm
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| SimpleCNN + GLU + NormModel Architecture=with GLU and Norm2026.02 | 96.8 | 94 | 95.4 | |
| SimpleCNN + GLUModel Architecture=with GLU2026.02 | 95.6 | 88 | 91.8 | |
| SimpleCNNModel Architecture=Base (Ours)2026.02 | 94.2 | 89 | 91.6 | |
| IMPALA ResNetModel Architecture=4 layers2026.02 | 91.4 | 84 | 87.7 | |
| IMPALA ResNetModel Architecture=24 layers2026.02 | 80.96 | 51 | 65.98 | |
| IMPALA ResNetModel Architecture=4 layers, Data Augmentation=true2026.02 | 72.6 | 47 | 59.8 |