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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 | Flowers-102 | 25 | May 20, 2026 | ||
| Image Classification | CIFAR100 | 25 | Apr 7, 2026 | ||
| Image Classification | ImageNet-1k | 25 | Feb 26, 2026 | ||
| Zero-shot Image Classification | DTD | 25 | May 19, 2026 | ||
| Image Classification | CIFAR-10 automobile vs. cat | 25 | Feb 26, 2026 | ||
| Image Classification |
|---|
| MNIST digits 8 and 9 |
| 25 |
| Feb 26, 2026 |
| Image Classification | MNIST iid (10 classes/client) CONV4, 50 rounds (test) | 25 | Feb 26, 2026 |
|---|
| Image Classification | ImageNet-A OfficeHome source (test) | 25 | Feb 26, 2026 |
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| Image Classification | ImageNet-R OfficeHome source (test) | 25 | Feb 26, 2026 |
|---|
| Image Classification | ImageNet-A MiniDomainnet source (test) | 25 | Feb 26, 2026 |
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| Image Classification | ImageNet-R MiniDomainnet source (test) | 25 | Feb 26, 2026 |
|---|
| Hyperspectral Image Classification | Salinas (test) | 25 | Mar 24, 2026 |
|---|
| Image Classification | Food101 | 25 | Feb 27, 2026 |
|---|
| Base-to-novel Image Classification | FGVC Aircraft | 25 | May 18, 2026 |
|---|
| Image Classification | ImageNet-1K 1.0 (val) | 25 | Feb 26, 2026 |
|---|
| Image Classification | tieredImageNet | 25 | Feb 26, 2026 |
|---|
| Image Classification | CIFAR10 original and noisy labels (test) | 25 | Feb 26, 2026 |
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| Image Classification | SIIM-ACR | 25 | May 26, 2026 |
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| Image Classification | ImageNet-1K original (val) | 25 | Feb 26, 2026 |
|---|
| Image Classification | CIFAR-100 LT IF=10 | 25 | Jul 8, 2026 |
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| Image Classification | CIFAR-100 50+50 | 25 | Feb 26, 2026 |
|---|
| Image Classification | CheXpert (test) | 25 | Feb 26, 2026 |
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| Image Classification | ImageNet Base | 25 | Feb 26, 2026 |
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| Image Classification | CIFAR-100 Noisy (test) | 25 | Jun 30, 2026 |
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| Image Classification | CIFAR100 (test) | 25 | Feb 26, 2026 |
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