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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 | NYU v2 (Retained set) | 37 | May 20, 2026 | ||
| Semantic Segmentation | PAS-20 | 37 | Mar 17, 2026 | ||
| Semantic Segmentation | ACDC Fog | 37 | May 8, 2026 | ||
| Semantic Segmentation | ADE-20k A-847 (test) | 37 | Feb 26, 2026 | ||
| Semantic Segmentation | SemanticKITTI | 37 | Jun 19, 2026 | ||
| Semantic Segmentation |
| Cityscapes (val) |
| 37 |
| Feb 26, 2026 |
| Semantic Segmentation | DADA-seg (test) | 37 | Feb 26, 2026 |
|---|
| Semantic Segmentation | SYNTHIA to Cityscapes 13-class | 37 | Feb 26, 2026 |
|---|
| Semantic Segmentation | SUN-RGBD | 37 | Apr 15, 2026 |
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| LiDAR semantic segmentation | SemanticKITTI | 36 | May 14, 2026 |
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| Semantic Segmentation | GTA5 → {Cityscapes, BDD100K, Mapillary} (Target Domains) | 36 | Feb 26, 2026 |
|---|
| Semantic Segmentation | Poland dataset | 36 | Feb 26, 2026 |
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| Semantic Segmentation | KITTI-360 (val) | 36 | Feb 26, 2026 |
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| Semantic Segmentation | Cityscapes 19 semantic class labels (val) | 36 | Jun 2, 2026 |
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| Incremental Semantic Segmentation | Pascal-VOC 2012 (val) | 36 | Feb 26, 2026 |
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| Semantic Segmentation | Pascal VOC Original protocol 1464 labeled images | 36 | Feb 26, 2026 |
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| Open-Vocabulary Semantic Segmentation | ORAD-3D | 35 | Jun 18, 2026 |
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| Semantic Segmentation | ISIC | 35 | Mar 31, 2026 |
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| Semantic Segmentation | Deepglobe | 35 | Feb 26, 2026 |
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| Semantic Segmentation | SemanticKITTI v1.0 (val) | 35 | Jul 1, 2026 |
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| Semantic Segmentation | GTA5 | 35 | Jun 2, 2026 |
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| 3D Semantic Segmentation | ScanNet V2 | 35 | Jul 7, 2026 |
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| Semantic Segmentation | Synthia 4D (test) | 35 | Apr 14, 2026 |
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| LiDAR Semantic Segmentation | SemanticKITTI sequences 11 to 21 (test) | 35 | Feb 26, 2026 |
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| Semantic Segmentation | MFNet day-night (test) | 35 | May 27, 2026 |
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