Image Classification 벤치마크
Image Classification on CLEVR/Count
| Rank | Model | Top 1 Accuracy | Extra Training Data | Paper | Code | Year |
|---|---|---|---|---|---|---|
| 1 | SEER (RegNet10B) | 89.28 | ✓ | Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision | facebookresearch/vissl | 2022 |
| 2 | SEER (RegNetY-128GF) | 87.98 | ✓ | Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision | facebookresearch/vissl | 2022 |