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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 |
|---|---|---|---|---|---|
| Action Recognition | Kinetics-Gameplay (test) | 40 | Feb 26, 2026 | ||
| Super-Resolution | BSDS100 4x | 40 | Mar 13, 2026 | ||
| Video Object Detection | UA-DETRAC (test) | 40 | Feb 26, 2026 | ||
| Matrix Completion | MovieLens-1M (test) | 40 | Jun 4, 2026 | ||
| Image Classification | MNIST-scale (test) | 40 | Feb 26, 2026 | ||
| Action Recognition |
| Skeleton-Kinetics (test) |
| 40 |
| Feb 26, 2026 |
| Summarization | Newsroom (test) | 40 | Feb 26, 2026 |
|---|
| Density Estimation | CIFAR-10 | 40 | Feb 26, 2026 |
|---|
| Natural Language Inference | WNLI | 40 | Feb 26, 2026 |
|---|
| Pedestrian Attribute Recognition | PA-100K (test) | 40 | Jun 23, 2026 |
|---|
| Short-term motion prediction | Human 3.6M short-term motion prediction (test) | 40 | Feb 26, 2026 |
|---|
| Multivariate Time Series Forecasting | Traffic | 40 | Feb 26, 2026 |
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| Named Entity Recognition | NCBI-disease (test) | 40 | Feb 26, 2026 |
|---|
| RGBT Tracking | VOT-RGBT 2019 | 40 | Feb 26, 2026 |
|---|
| Entity Alignment | DBP JA-EN 15K | 40 | Feb 26, 2026 |
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| Incremental Learning | ImageNet-1000 | 40 | Feb 26, 2026 |
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| Named Entity Recognition | CoNLL 2003 (dev) | 40 | Feb 26, 2026 |
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| Visual Question Answering | TextVQA v1.0 (test) | 40 | Apr 10, 2026 |
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| Fine-grained 5-way classification | Stanford Cars | 40 | Apr 21, 2026 |
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| Action Recognition | HMDB51 1 (test) | 40 | Feb 26, 2026 |
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| Stereo Matching | Scene Flow | 40 | Feb 26, 2026 |
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| Instance Segmentation | S3DIS (6-fold CV) | 40 | Feb 27, 2026 |
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| Model Calibration | SVHN | 40 | Feb 26, 2026 |
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| Machine Translation | WMT De-En 14 | 40 | May 12, 2026 |
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| Image Classification | Rotated-MNIST | 40 | Feb 26, 2026 |
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