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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 |
|---|---|---|---|---|---|
| Multimodal Retrieval | Multi30k (test) | 35 | Feb 26, 2026 | ||
| Visual Localization | Cambridge Landmarks (test) | 35 | Feb 26, 2026 | ||
| Referring Video Segmentation | JHMDB Sentences (test) | 35 | Feb 26, 2026 | ||
| Image Classification | Office-Caltech (test) | 35 | Feb 26, 2026 | ||
| OOD detection |
| OOD Suite Average |
| 35 |
| Jun 17, 2026 |
| Stereo Matching | Middlebury v3 | 35 | Jun 30, 2026 |
|---|
| LiDAR Semantic Segmentation | SemanticKITTI sequences 11 to 21 (test) | 35 | Feb 26, 2026 |
|---|
| Image Classification | CIFAR-100 LT IF 50 (test) | 35 | Feb 26, 2026 |
|---|
| Image Generation | CIFAR-100 (full data) | 35 | Feb 26, 2026 |
|---|
| Image Generation | CIFAR-10 (10% data) | 35 | Feb 26, 2026 |
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| Image Generation | CIFAR-10 (20% data) | 35 | Feb 26, 2026 |
|---|
| 4D Panoptic Segmentation | SemanticKITTI (val) | 35 | Feb 26, 2026 |
|---|
| Graph-level prediction | OGBG-MOLPCBA (test) | 35 | Feb 26, 2026 |
|---|
| Image-to-recipe retrieval | Recipe1M 1.0 (test) | 35 | Feb 26, 2026 |
|---|
| Image Classification | iNaturalist (test) | 35 | May 12, 2026 |
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| Question Answering | MLQA (test) | 35 | Feb 26, 2026 |
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| Node classification | PATTERN | 35 | Jun 26, 2026 |
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| Out-of-Distribution Detection | CIFAR-10 Interp. | 35 | Feb 26, 2026 |
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| Class Incremental Learning | ImageNet 100 (incremental) | 35 | Feb 26, 2026 |
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| kNN Classification | Shuttle | 35 | May 13, 2026 |
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| Few-shot classification | Omniglot 5-way 5-shot (test) | 35 | Feb 26, 2026 |
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| Video Summarization | SumMe (test) | 35 | Feb 26, 2026 |
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| Anomaly Detection | ImageNet (test) | 35 | Feb 26, 2026 |
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| Video Prediction | KTH | 35 | Feb 26, 2026 |
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| Image Generation | CIFAR-100 (test) | 35 | Feb 26, 2026 |
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