City
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Semantic Segmentation | City | mIoU61.6 | 61 | |
| Promptable Image Segmentation | CITY (val) | mIoU63.2 | 24 | |
| Desnowing | City Snow | PSNR24.19 | 10 | |
| Summarization | City E | ROUGE-1 Score59.324 | 7 | |
| Summarization | City D | R1 Score59.68 | 7 | |
| Summarization | City C | R157.401 | 7 | |
| Summarization | City B | R1 Score53.871 | 7 | |
| Trajectory Prediction | City D | Average DTW31.94 | 5 | |
| Trajectory Prediction | City C | Average DTW20.57 | 5 | |
| View Synthesis | City-1M (test) | PSNR21.67 | 4 | |
| Human mobility prediction | City D (test) | GEO-BLEU0.3 | 4 | |
| Human mobility prediction | City B (test) | GEO-BLEU0.297 | 4 | |
| Per-patient decision agreement evaluation | City 2 diabetic nephropathy guidance policy | Agreement98.9 | 3 | |
| Pose Graph Optimization | City | Objective Value6.386 | 2 | |
| Hallucination Detection | City* | AUC ROC0.898 | 2 |
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