Image Classification on ImageNet-C JPEG Corruptions
75.4Top-1 AccuracyDINOv2
Evaluation results
| Method | Links | |
|---|---|---|
| DINOv2Model size=XL/16, Model type=Discriminative2026.03 | 75.4 | |
| RandARModel size=XL/16, Model type=Autoregressive2026.03 | 75.1 | |
| RandAR XL/162026.03 | 75.1 | |
| DINOv2Model size=L/16, Model type=Discriminative2026.03 | 73.6 | |
| DATModel size=L/16, Model type=Joint model2026.03 | 70.9 | |
| ViTModel size=L/16, Model type=Discriminative2026.03 | 69.4 | |
| RandARModel size=L/16, Model type=Autoregressive2026.03 | 68.7 | |
| RandAR L/162026.03 | 68.7 | |
| DiTModel size=XL/16, Model type=Diffusion2026.03 | 66.1 | |
| ResNet-1512026.03 | 64.6 | |
| DiTModel size=L/16, Model type=Diffusion2026.03 | 64.2 | |
| ResNet-1012026.03 | 61.8 | |
| RandAR rasterModel size=L/16, Model type=Autoregressive2026.03 | 58.8 | |
| ResNet-502026.03 | 58.8 | |
| SiT + REPAModel size=XL/16, Model type=Diffusion2026.03 | 55.4 | |
| ResNet-342026.03 | 55.4 | |
| SiTModel size=XL/16, Model type=Diffusion2026.03 | 53.7 | |
| ResNet-182026.03 | 50.4 | |
| LlamaGenModel size=L/16, Model type=Autoregressive2026.03 | 45.2 | |
| LlamaGenModel size=XL/16, Model type=Autoregressive2026.03 | 39.1 | |
| VARModel size=L/16, Model type=Autoregressive2026.03 | 39 | |
| A-VARCModel size=L/16, Model type=Autoregressive2026.03 | 37.7 | |
| VARModel size=XL/16, Model type=Autoregressive2026.03 | 33.6 | |
| A-VARCModel size=XL/16, Model type=Autoregressive2026.03 | 31.5 |