ANIMAL
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Classification | ANIMAL-10N (test) | Accuracy89.38 | 83 | |
| Image Classification | ANIMAL-10N | Accuracy0.9252 | 43 | |
| Multi-view Classification | Animal | ECE9.79 | 11 | |
| Classification with noisy labels | Animal-10N noise ratio ~8% (test) | Top-1 Acc89 | 8 | |
| Image Classification | ANIMAL10 | Accuracy86.8 | 7 | |
| Unconditional Generation | Animal | FID18.82 | 6 | |
| Keypoint Detection | Animal | PCK@0.148.81 | 3 |
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