Classification On N Imagenet
평가 지표
Accuracy (%)
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | Accuracy (%) |
|---|---|
| n-imagenet-towards-robust-fine-grained-object-1 | 48.43 |
| n-imagenet-towards-robust-fine-grained-object-1 | 44.32 |
| n-imagenet-towards-robust-fine-grained-object-1 | 46.36 |
| n-imagenet-towards-robust-fine-grained-object-1 | 45.86 |
| n-imagenet-towards-robust-fine-grained-object-1 | 45.77 |
| n-imagenet-towards-robust-fine-grained-object-1 | 47.14 |
| n-imagenet-towards-robust-fine-grained-object-1 | 47.90 |
| n-imagenet-towards-robust-fine-grained-object-1 | 48.93 |
| n-imagenet-towards-robust-fine-grained-object-1 | 47.73 |