DeepGlobe
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Few-Shot Segmentation | DeepGlobe | mIoU62.5 | 83 | |
| Road Segmentation | DeepGlobe | IoU79.35 | 41 | |
| Semantic Segmentation | Deepglobe | mIoU89.5 | 35 | |
| Road Extraction | DeepGlobe | mIoU64.02 | 26 | |
| Few-Shot Semantic Segmentation | DeepGlobe 5-shot | mIoU63.4 | 22 | |
| Few-Shot Semantic Segmentation | DeepGlobe 1-shot | mIoU51.1 | 22 | |
| Semantic Segmentation | DeepGlobe Target Dataset PASCAL VOC Source | mIoU54.73 | 22 | |
| Semantic Segmentation | DeepGlobe (test) | mIoU74.1 | 20 | |
| Binary Segmentation | DeepGlobe (test) | mIoU70.6 | 14 | |
| Cross-Domain Few-Shot Segmentation | DeepGlobe (test) | mIoU63.4 | 12 | |
| Road Segmentation | DeepGlobe (test) | Precision82.12 | 9 | |
| Semantic Segmentation | DeepGlobeRoads | Dice Score75 | 7 | |
| Semantic Segmentation | DeepGlobe (val) | mIoU64.38 | 7 | |
| Multi-label scene classification | DeepGlobe-ML Mixed Noise (test) | mAP macro (10% noise)79.15 | 7 | |
| Multi-label scene classification | DeepGlobe-ML Additive Noise (test) | mAP macro (10% noise)80.15 | 7 | |
| Few-Shot Segmentation | Deepglobe (test) | mIoU53.1 | 3 | |
| Image Segmentation | Deepglobe | mIoU44.31 | 2 |
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