Cityscapes
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Semantic Segmentation | Cityscapes (test) | mIoU172.4 | 1,154 | |
| Semantic Segmentation | Cityscapes | mIoU3,290 | 658 | |
| Semantic Segmentation | GTA5 → Cityscapes (val) | mIoU77.1 | 586 | |
| Semantic Segmentation | Cityscapes (val) | mIoU84.2 | 572 | |
| Semantic Segmentation | Cityscapes (val) | mIoU87 | 374 | |
| Semantic Segmentation | Cityscapes GTA5 to Cityscapes adaptation (val) | mIoU (Overall)70.3 | 352 | |
| Semantic Segmentation | Cityscapes (val) | mIoU87.1 | 297 | |
| Panoptic Segmentation | Cityscapes (val) | PQ70.8 | 276 | |
| Instance Segmentation | Cityscapes (val) | AP50.6 | 239 | |
| Semantic Segmentation | Cityscapes | mIoU82.28 | 218 | |
| Object Detection | Cityscapes to Foggy Cityscapes (test) | mAP55.9 | 196 | |
| Semantic Segmentation | Cityscapes (val) | mIoU81.1 | 133 | |
| Instance Segmentation | Cityscapes (test) | AP (Overall)40.1 | 122 | |
| Semantic Segmentation | Cityscapes adaptation from Synthia 1.0 (val) | Person IoU82 | 114 | |
| Video Panoptic Segmentation | Cityscapes-VPS (val) | VPQ70.8 | 110 | |
| Semantic Segmentation | Cityscapes 1.0 (val) | mIoU80.21 | 110 | |
| Object Detection | Foggy Cityscapes (test) | mAP (Mean Average Precision)53.46 | 108 | |
| Semantic Segmentation | Cityscapes (val) | mIoU82.19 | 108 | |
| Object Detection | Sim10K → Cityscapes (test) | AP (Car)75.9 | 104 | |
| Video Semantic Segmentation | Cityscapes (val) | mIoU83.3 | 103 | |
| Object Detection | Cityscapes Adaptation from SIM-10k (val) | AP (Car)58.5 | 97 | |
| Semantic Segmentation | Cityscapes 1/4 (744 labels) | mIoU85.1 | 91 | |
| Semantic Segmentation | Cityscapes | mIoU88.9 | 82 | |
| Video Semantic Segmentation | Cityscapes-C (test) | mIoU49.27 | 78 | |
| Semantic Segmentation | Cityscapes 1/16 (186 labeled samples) | mIoU84.1 | 78 |
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