| Benchmark | Model | Rank | Results |
|---|---|---|---|
| image-classification-on-imagenet | CMA(ViT-B/16) | #501 | Top 1 Accuracy: 82.64% |
| out-of-distribution-detection-on-imagenet-1k-10 | CMA(ViT-B/16, NegLabel) | #14 | AUROC: 91.64FPR95: 33.58 |
| out-of-distribution-detection-on-imagenet-1k-3 | CMA(ViT-B/16, NegLabel) | #2 | AUROC: 99.62FPR95: 1.65 |
| out-of-distribution-detection-on-imagenet-1k-8 | CMA(ViT-B/16, NegLabel) | #1 | FPR95: 16.84AUROC: 96.36 |
| out-of-distribution-detection-on-imagenet-1k-9 | CMA(ViT-B/16, NegLabel) | #1 | FPR95: 27.65AUROC: 93.11 |