Potsdam
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Semantic Segmentation | Potsdam (test) | mIoU92.12 | 193 | |
| Semantic Segmentation | Potsdam | mIoU76.17 | 110 | |
| Open-Vocabulary Segmentation | Potsdam | mIoU74.3 | 33 | |
| Semantic Segmentation | Potsdam | mIoU45.91 | 32 | |
| Semantic Segmentation | Potsdam 3 | Pixel Accuracy82.4 | 25 | |
| Semantic Segmentation | Potsdam | Pixel Accuracy91.74 | 25 | |
| Semantic Segmentation | Potsdam RGB | mIoU (P-I)76.7 | 20 | |
| Multispectral Semantic Segmentation | Potsdam (evaluation set) | OA91.18 | 20 | |
| Unsupervised Image Segmentation | Potsdam | Accuracy82.4 | 20 | |
| Unsupervised Image Segmentation | Potsdam-3 | Accuracy80.2 | 20 | |
| Open-Vocabulary Segmentation | Potsdam (test) | mIoU60.5 | 19 | |
| Semantic Segmentation | Potsdam | mF193.99 | 19 | |
| Semantic Segmentation | Potsdam 3 (test) | Pixel Accuracy83.3 | 18 | |
| Semantic Segmentation | Potsdam (val) | mIoU75.4 | 17 | |
| Semantic Segmentation | Potsdam | mIoU Mean45.67 | 16 | |
| Unsupervised image segmentation | Potsdam (test) | Accuracy67.4 | 15 | |
| Unsupervised image segmentation | Potsdam 3-class (test) | Accuracy80.4 | 15 | |
| Semantic Segmentation | Potsdam | Accuracy85.3 | 13 | |
| Semantic Segmentation | Potsdam | mIoU59.7 | 12 | |
| Cloud Removal | Potsdam CR-thick | PSNR31.049 | 10 | |
| Cloud Removal | Potsdam CR thin | PSNR33.642 | 10 | |
| Few-shot Segmentation | Potsdam (test) | Foreground mIoU71.2 | 10 | |
| Semantic Segmentation | Potsdam | Impervious surface IoU83.68 | 10 | |
| Cloud Removal | Potsdam CR-thick | CKNNA0.616 | 9 | |
| Semantic Segmentation | Potsdam (0.3 train size) | mIoU71.56 | 8 |
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