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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 |
|---|---|---|---|---|---|
| Temporal Action Localization | THUMOS14 v1.0 (50%-50%) | 34 | May 22, 2026 | ||
| Pansharpening | GaoFen-2 (GF2) full-resolution original (test) | 34 | Jun 17, 2026 | ||
| Trajectory Prediction | Stanford Drone Dataset (SDD) | 34 | Mar 27, 2026 | ||
| Image Deraining | 100 (test) | 34 | Jun 23, 2026 | ||
| Video Reconstruction | Bunny | 34 | Feb 26, 2026 |
| Video-Text Retrieval | MSR-VTT | 34 | Jun 9, 2026 |
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| Text-to-Image Generation | MS-COCO 5K 2017 (val) | 34 | Feb 26, 2026 |
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| LLM Judge Agreement | MT-bench First Turn | 34 | Feb 26, 2026 |
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| Image Denoising | BSD68 σ = 50 | 34 | Jun 18, 2026 |
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| Image Denoising | BSD68 σ = 15 | 34 | Jun 18, 2026 |
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| Transductive future link prediction | SocialEvol. | 34 | Jul 7, 2026 |
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| Transductive future link prediction | UCI | 34 | Jul 7, 2026 |
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| Transductive future link prediction | MOOC | 34 | Jul 7, 2026 |
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| Transductive future link prediction | Wikipedia | 34 | Jul 7, 2026 |
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| Semantic Segmentation | Pascal VOC VOC-20 (test) | 34 | Feb 26, 2026 |
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| Natural Language Understanding | ARC-c | 34 | May 12, 2026 |
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| Exemplar-Free Class-Incremental Learning | ImageNet Subset | 34 | Jun 26, 2026 |
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| LiDAR Semantic Segmentation | ScribbleKITTI (train) | 34 | Feb 26, 2026 |
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| Action Recognition | UAV-Human | 34 | Mar 9, 2026 |
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| Object Detection | M³FD (test) | 34 | Feb 26, 2026 |
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| Multi-objective Knapsack Problem | Bi-KP n=200 | 34 | May 25, 2026 |
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| Multi-objective Knapsack Problem | Bi-KP n=100 | 34 | May 25, 2026 |
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| Multi-objective Knapsack Problem | Bi-KP n=50 | 34 | May 25, 2026 |
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| Text-to-Image Generation | MS-COCO 5k samples Stable Diffusion v1.5 (test) | 34 | Feb 26, 2026 |
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| Disentanglement | Shapes3D | 34 | Jul 7, 2026 |
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