Image Classification on ImageNet (test) (Accuracy, Coverage, and Size)
81.02Top-1 AccuracyAPS
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| APSModel=ViT, alpha=0.12024.05 | 81.02 | 95.33 | 89.9 | 10.5 | 0.087 | |
| SNAPSModel=ViT, alpha=0.12024.05 | 81.02 | 95.33 | 89.9 | 2.33 | 0.133 | |
| APSModel=ViT, alpha=0.052024.05 | 81.02 | 95.33 | 94.9 | 31.12 | 0.042 | |
| SNAPSModel=ViT, alpha=0.052024.05 | 81.02 | 95.33 | 95 | 10.47 | 0.04 | |
| APSModel=ResNeXt101, alpha=0.12024.05 | 79.32 | 94.58 | 89.9 | 19.64 | 0.088 | |
| SNAPSModel=ResNeXt101, alpha=0.12024.05 | 79.32 | 94.58 | 90 | 4.08 | 0.059 | |
| APSModel=ResNeXt101, alpha=0.052024.05 | 79.32 | 94.58 | 95 | 45.8 | 0.047 | |
| SNAPSModel=ResNeXt101, alpha=0.052024.05 | 79.32 | 94.58 | 95 | 14.41 | 0.033 | |
| APSModel=ResNet101, alpha=0.12024.05 | 77.36 | 93.53 | 90 | 10.82 | 0.075 | |
| SNAPSModel=ResNet101, alpha=0.12024.05 | 77.36 | 93.53 | 90 | 3.62 | 0.078 | |
| APSModel=ResNet101, alpha=0.052024.05 | 77.36 | 93.53 | 95 | 22.9 | 0.039 | |
| SNAPSModel=ResNet101, alpha=0.052024.05 | 77.36 | 93.53 | 95 | 9.83 | 0.029 | |
| APSModel=DenseNet161, alpha=0.12024.05 | 77.19 | 93.56 | 90 | 12.04 | 0.077 | |
| SNAPSModel=DenseNet161, alpha=0.12024.05 | 77.19 | 93.56 | 90 | 3.8 | 0.067 | |
| APSModel=DenseNet161, alpha=0.052024.05 | 77.19 | 93.56 | 95.1 | 27.99 | 0.039 | |
| SNAPSModel=DenseNet161, alpha=0.052024.05 | 77.19 | 93.56 | 95 | 10.66 | 0.026 | |
| APSModel=CLIP, alpha=0.12024.05 | 60.53 | 86.15 | 89.9 | 17.46 | 0.047 | |
| SNAPSModel=CLIP, alpha=0.12024.05 | 60.53 | 86.15 | 89.9 | 10.32 | 0.032 | |
| APSModel=CLIP, alpha=0.052024.05 | 60.53 | 86.15 | 95 | 34.93 | 0.027 | |
| SNAPSModel=CLIP, alpha=0.052024.05 | 60.53 | 86.15 | 94.9 | 24.53 | 0.017 |