Classification on COVID X-ray (test)
0.927AUCBaseline
Evaluation Results
| Method | Links | |
|---|---|---|
| BaselineNoise Type=additive Gaussian noise (GN), Evaluation Protocol=Linear classifier on ImageNet-100 representations, Pre-training Dataset=ImageNet-1002021.10 | 0.927 | |
| BaselineNoise Type=random missing pixels (RM), Evaluation Protocol=Linear classifier on ImageNet-100 representations, Pre-training Dataset=ImageNet-1002021.10 | 0.918 | |
| Robust EncoderNoise Type=random missing pixels (RM), Evaluation Protocol=Linear classifier on ImageNet-100 representations, Pre-training Dataset=ImageNet-1002021.10 | 0.918 | |
| Robust EncoderNoise Type=additive Gaussian noise (GN), Evaluation Protocol=Linear classifier on ImageNet-100 representations, Pre-training Dataset=ImageNet-1002021.10 | 0.896 |