Classification on CIFAR-10 (Accuracy)
59.2AccuracyMetaMAE
Evaluation Results
| Method | Links | |
|---|---|---|
| MetaMAEPretrain data=ImageNet32, Protocol=Linear evaluation2023.10 | 59.2 | |
| CapriPretrain data=ImageNet32, Protocol=Linear evaluation2023.10 | 48.7 | |
| MAEPretrain data=ImageNet32, Protocol=Linear evaluation2023.10 | 46 | |
| ShEDPretrain data=ImageNet32, Protocol=Linear evaluation2023.10 | 39.6 | |
| e-MixPretrain data=ImageNet32, Protocol=Linear evaluation2023.10 | 39.4 | |
| BaselinePretrain data=ImageNet32, Protocol=Linear evaluation2023.10 | 24.2 |