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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 |
|---|---|---|---|---|---|
| Semantic Segmentation | COCO 20i Fold-1 | 24 | Feb 26, 2026 | ||
| Semantic Segmentation | COCO-20i Fold-0 | 24 | Feb 26, 2026 | ||
| Semantic Segmentation | SN-7-TS (test) | 24 | Feb 26, 2026 | ||
| Semantic Segmentation | RainCityscape | 24 | Apr 28, 2026 | ||
| Continual Semantic Segmentation | ADE20k 100-10 (6 tasks) (val) | 24 | Feb 26, 2026 | ||
| Semantic Segmentation |
| Pascal-VOC Disjoint 15-1 2012 |
| 24 |
| Feb 26, 2026 |
| Semantic Segmentation | LIP (val) | 24 | Feb 26, 2026 |
|---|
| Semantic Segmentation | KITTI (val) | 24 | Feb 26, 2026 |
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| Semantic segmentation | ScanNet20 (val) | 24 | Feb 26, 2026 |
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| Semantic Segmentation | YCB-V | 23 | May 26, 2026 |
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| Open-set Point Cloud Semantic Segmentation | S3DIS Manual-10-3 | 23 | May 13, 2026 |
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| Open-set Point Cloud Semantic Segmentation | S3DIS Manual-12-1 | 23 | May 13, 2026 |
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| Open-vocabulary semantic segmentation | ADE20K A-847 | 23 | May 26, 2026 |
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| Semantic Segmentation | Pascal Context Stuff without background | 23 | Apr 29, 2026 |
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| Semantic Segmentation | COCO-60 with background | 23 | Apr 29, 2026 |
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| Semantic Segmentation | Surveillance mixture RainSnow, MTID/Drone, GRAM-RTM/M-30-HD, UT/Sherbrooke | 23 | Mar 25, 2026 |
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| Semantic Segmentation | Cityscapes | 23 | Mar 24, 2026 |
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| Few-shot 3D Semantic Segmentation | ScanNet | 23 | Jul 1, 2026 |
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| Open-Vocabulary Semantic Segmentation | PASCAL VOC-20 (val) | 23 | Jul 7, 2026 |
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| Semantic Segmentation | PASCAL VOC 10-1 sequence 2012 | 23 | Mar 17, 2026 |
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| Semantic Segmentation | ScanNet 19 classes | 23 | Jul 2, 2026 |
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| Semantic Segmentation | Karachi | 23 | Feb 26, 2026 |
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| Semantic Segmentation | Lahore | 23 | Feb 26, 2026 |
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| Semantic Segmentation | Mumbai | 23 | Feb 26, 2026 |
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| Semantic Segmentation | Medellin | 23 | Feb 26, 2026 |
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