Image Classification on ImageNet-Sketch 1.0 (test)
46.03Top-1 AccViT-B/16 + PyramidAT
Evaluation Results
| Method | Links | |
|---|---|---|
| ViT-B/16 + PyramidATExtra Data=IM-21k2021.11 | 46.03 | |
| Discrete ViTExtra Data=IM-21k2021.11 | 44.72 | |
| ViT-B/16 + PyramidATExtra Data=None2021.11 | 41.04 | |
| Discrete ViTExtra Data=None2021.11 | 39.1 | |
| Robust ViTExtra Data=None2021.11 | 36 | |
| ConViT-BExtra Data=None2021.11 | 35.7 | |
| Swin-BExtra Data=None2021.11 | 32.4 | |
| HO-HEClassifier=ResNet-502026.07 | 26.77 | |
| RealismClassifier=ResNet-502026.07 | 25.3 | |
| Random SamplingClassifier=ResNet-502026.07 | 25.29 | |
| SBSimClassifier=ResNet-502026.07 | 24.378 | |
| CLIP-AlignClassifier=ResNet-502026.07 | 24.201 | |
| OriginalClassifier=ResNet-502026.07 | 17.34 | |
| RELICv2Epochs=3000, Evaluation=Linear evaluation, Pre-training dataset=JFT-300M2022.01 | 8.7 | |
| RELICv2Epochs=1000, Evaluation=Linear evaluation, Pre-training dataset=JFT-300M2022.01 | 6.7 | |
| RELICv2Epochs=5000, Evaluation=Linear evaluation, Pre-training dataset=JFT-300M2022.01 | 5.4 |