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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 |
|---|---|---|---|---|---|
| Human Activity Recognition | HHAR | 39 | Jul 7, 2026 | ||
| Binary Classification | income IC 1995 (test) | 39 | Feb 26, 2026 | ||
| Incremental Learning | CIFAR100 10 steps | 39 | Feb 26, 2026 | ||
| Full-Reference Image Quality Assessment | CSIQ-IQA (test) | 39 | Apr 23, 2026 | ||
| HSI Reconstruction | KAIST 10 scenes (Scene2) | 39 | Feb 26, 2026 | ||
| Handwritten Mathematical Expression Recognition |
|---|
| CROHME 2019 |
| 39 |
| Feb 26, 2026 |
| Image Classification | SVHN 1000 labels | 39 | Mar 19, 2026 |
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| Class-Incremental Continual Learning | CIFAR-10 Sequential | 39 | Feb 26, 2026 |
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| Classification | LRA ListOps N=2000 (test) | 39 | Feb 26, 2026 |
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| Table Structure Recognition | PubTabNet (val) | 39 | Jun 17, 2026 |
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| Semantic Segmentation | COCOStuff 164K | 39 | Jun 4, 2026 |
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| 3D Object Detection | ScanNet v2 (test) | 39 | Apr 20, 2026 |
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| Lane Detection | CULane | 39 | Feb 26, 2026 |
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| Semantic Segmentation | Stanford2D3D-Panoramic (SPan) v1 (averaged by 3 folds) | 39 | Feb 26, 2026 |
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| Simultaneous Speech Translation | MuST-C EN-DE (tst-COMMON) | 39 | Mar 19, 2026 |
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| Image Classification | CIFAR-10 | 39 | Feb 26, 2026 |
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| Long-tailed Visual Recognition | iNaturalist 2018 (test) | 39 | Feb 26, 2026 |
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| Out-of-distribution Detection | ImageNet-1k vs iNaturalist (test) | 39 | Feb 26, 2026 |
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| Data-to-text evaluation | SFRES | 39 | May 13, 2026 |
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| Commonsense Generation | CommonGen (test) | 39 | May 11, 2026 |
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| Scene Graph Detection | VG150 | 39 | Apr 27, 2026 |
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| Nuclei Instance Segmentation | PanNuke | 39 | Feb 26, 2026 |
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| Anomaly detection | Hyper-Kvasir | 39 | Feb 26, 2026 |
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| 5-way Few-shot Classification | tiered-ImageNet | 39 | Feb 26, 2026 |
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| Feature Attribution Evaluation | ImageNet standard (val) | 39 | Feb 26, 2026 |
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