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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 |
|---|---|---|---|---|---|
| Point Cloud Filtering | PCNet Dense 50K | 36 | Feb 26, 2026 | ||
| Point Cloud Filtering | PUNet Sparse 10K | 36 | Feb 26, 2026 | ||
| Point Cloud Filtering | PCNet synthetic | 36 | Feb 26, 2026 | ||
| Point Cloud Filtering | PUNet synthetic | 36 | Feb 26, 2026 | ||
| Object Detection | iNatLoc | 36 | Feb 26, 2026 | ||
| Sleep Stage Classification | SHHS |
| 36 |
| May 19, 2026 |
| Sleep Stage Classification | Sleep-EDFX | 36 | May 12, 2026 |
|---|
| Code Generation | xCodeEval | 36 | Feb 26, 2026 |
|---|
| Multimodal Emotion Recognition in Conversation | MELD | 36 | Apr 15, 2026 |
|---|
| Temporal Action Localization | ActivityNet 1.3 (75%-25%) | 36 | Jul 7, 2026 |
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| Temporal Action Localization | THUMOS14 v1.0 (75%-25%) | 36 | Jul 7, 2026 |
|---|
| Image-level WBC classification | Acevedo | 36 | Feb 26, 2026 |
|---|
| White Blood Cell classification | BMC (test) | 36 | Feb 26, 2026 |
|---|
| Semantic Segmentation | GTA5 → {Cityscapes, BDD100K, Mapillary} (Target Domains) | 36 | Feb 26, 2026 |
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| Image Classification | STL10-LT (test) | 36 | Feb 26, 2026 |
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| Image Classification | CIFAR100 | 36 | Apr 7, 2026 |
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| Continual Learning | Tiny-ImageNet (test) | 36 | Feb 26, 2026 |
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| Continual Learning | CIFAR100 (test) | 36 | Feb 26, 2026 |
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| Image Classification | CIFAR100 (test) | 36 | Feb 26, 2026 |
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| Question Answering | Natural Questions | 36 | May 11, 2026 |
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| Image Classification | CIFAR100 Cross-Silo (K=10) α = 0.1 | 36 | Feb 26, 2026 |
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| Image Classification | CIFAR100 Cross-Device (K=100) α = 0.1 | 36 | Feb 26, 2026 |
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| Image Classification | CIFAR10 Cross-Silo (K=10) α = 0.1 | 36 | Feb 26, 2026 |
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| Image Classification | CIFAR10 Cross-Device (K=100) α = 0.1 | 36 | Feb 26, 2026 |
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| Image Captioning | MS COCO 2014 (val) | 36 | Apr 13, 2026 |
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