Image Classification on ImageNet (test val) (Standard and Robust Accuracy)
0.6822Standard AccuracyNie et al.
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Nie et al.Classifier=ResNet502023.12 | 0.6822 | 0.4389 | |
| Bai et al.Classifier=ResNet502023.12 | 0.6738 | 0.3551 | |
| Salman et al.Classifier=ResNet502023.12 | 0.6402 | 0.3789 | |
| Wang et al.Classifier=ResNet502023.12 | 0.6256 | 0.3106 | |
| Wong et al.Classifier=ResNet502023.12 | 0.5562 | 0.2695 |