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SOTA2 Research · benchmarks
Compare state-of-the-art methods across the tasks and datasets used to measure AI progress.
| Task | Dataset | Domain | Trend | Results | Last Update |
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| Image Classification | CIFAR-100 Noise Ratio 50% | 42 | Feb 26, 2026 | ||
| Image Classification | CIFAR-100 Noise Ratio 20% | 42 | Feb 26, 2026 | ||
| Image Classification | CIFAR-10 Noise Ratio 50% | 42 | Feb 26, 2026 | ||
| Image Classification | CIFAR-10 Noise Ratio 20% | 42 | Feb 26, 2026 | ||
| Image Classification | CIFAR-100 (test) | 42 | Feb 27, 2026 |
| Image Classification | VLCS (leave-one-domain-out) | 42 | Feb 26, 2026 |
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| Image Classification | CIFAR-100 | 42 | Feb 26, 2026 |
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| Image Classification | PACS, VLCS, OfficeHome, TerraIncognita, DomainNet out-of-domain | 42 | May 19, 2026 |
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| Image Classification | Colored-MNIST (CMNIST) | 42 | Feb 26, 2026 |
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| Image Classification | ImageNet 10 (test) | 42 | Feb 26, 2026 |
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| Image Classification | CIFAR-10 40% asymmetric noise (test) | 42 | Feb 26, 2026 |
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| Few-shot Image Classification | tiered-ImageNet K=160 (test) | 42 | Feb 26, 2026 |
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| Image Classification | CIFAR-10N (Random 1) | 42 | May 21, 2026 |
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| Continual Image Classification | MiniImageNet Split | 42 | Mar 18, 2026 |
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| Image Classification | EuroSAT | 41 | Jun 23, 2026 |
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| Image Classification | Digits | 41 | Jun 4, 2026 |
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| Medical Image Classification | BTMRI | 41 | May 27, 2026 |
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| Image Classification | Oxfordpets | 41 | Apr 23, 2026 |
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| Image Classification | EMNIST Dir(0.1) (test) | 41 | Apr 21, 2026 |
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| Image Classification | MNIST DIRICHLET partition (test) | 41 | Jun 30, 2026 |
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| Image Classification | CIFAR-100 Dirichlet-0.1 (test) | 41 | May 29, 2026 |
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| Aerial Image Classification | AIDER v2 (test) | 41 | Feb 27, 2026 |
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| Image Classification | ImageNet1K (val) | 41 | Apr 20, 2026 |
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| Image Classification | TissueMNIST (test) | 41 | Feb 26, 2026 |
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| Image Classification | CUB (test) | 41 | Jun 23, 2026 |
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