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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 |
|---|---|---|---|---|---|
| Image Classification | STL10 | 108 | Jun 15, 2026 | ||
| Image Classification | CIFAR-10-C Brightness Corruption, Severity Level 5 (test) | 107 | May 19, 2026 | ||
| Image Classification | FER 2013 | 107 | May 19, 2026 | ||
| Image Classification | CIFAR10 LT (test) | 106 | May 19, 2026 | ||
| Image Classification | CUB |
| 106 |
| Apr 21, 2026 |
| Image Classification | ImageNet-32 down-sampled (test) | 105 | Feb 26, 2026 |
|---|
| Image Classification | ImageNet Domain Generalization (Source: ImageNet, Targets: ImageNetV2, ImageNet-Sketch, ImageNet-A, ImageNet-R) (test) | 105 | May 13, 2026 |
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| Image Classification | ImageNet-C (val) | 105 | May 11, 2026 |
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| Image Classification | MNIST rotated (test) | 105 | Feb 26, 2026 |
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| Image Classification | Waterbirds severe in-distribution context (test) | 104 | Apr 3, 2026 |
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| Image Classification | Waterbirds In-context training (test) | 104 | Apr 3, 2026 |
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| Image Classification | iNaturalist OOD (test) | 104 | Apr 3, 2026 |
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| Image Classification | EuroSAT | 104 | Mar 18, 2026 |
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| Image Classification | WHU-RS19 | 104 | Jun 23, 2026 |
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| Image Classification | CIFAR10 centralized performance (test) | 104 | Feb 26, 2026 |
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| Image Classification | CIFAR-10 (test) | 104 | Feb 26, 2026 |
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| Image Classification | FEMNIST (test) | 104 | Apr 2, 2026 |
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| Image Classification | Food | 103 | Jun 4, 2026 |
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| Image Classification | EMNIST Balanced | 103 | Feb 26, 2026 |
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| Hyperspectral Image Classification | Pavia University (test) | 103 | Apr 28, 2026 |
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| Image Classification | CIFAR-100 v1 (test) | 102 | Jun 18, 2026 |
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| Image Classification | Country211 | 102 | Mar 4, 2026 |
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| Image Classification | CIFAR-10 (test) | 102 | Feb 26, 2026 |
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| Image Classification | VTAB-1K 1.0 (test) | 102 | Feb 26, 2026 |
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| Image Classification | CIFAR10-DVS (test) | 101 | May 28, 2026 |
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