Image Classification on ImageNet-S 1.0 (val)
48.3Top-1 AccuracyGPaCo
Evaluation results
| Method | Links | |
|---|---|---|
| GPaCoModel=ViT-L, Mixup and CutMix=w/o Mixup and CutMix2022.09 | 48.3 | |
| MAEModel=ViT-L, Mixup and CutMix=w/ Mixup and CutMix2022.09 | 45.5 | |
| MAEModel=ViT-L, Mixup and CutMix=w/o Mixup and CutMix2022.09 | 42.6 | |
| GPaCoModel=ViT-B, Mixup and CutMix=w/o Mixup and CutMix2022.09 | 39.4 | |
| MAEModel=ViT-B, Mixup and CutMix=w/ Mixup and CutMix2022.09 | 36.1 | |
| MAEModel=ViT-B, Mixup and CutMix=w/o Mixup and CutMix2022.09 | 32.9 | |
| GPaCoModel=ResNet-50, Mixup and CutMix=w/o Mixup and CutMix2022.09 | 30.9 |