Semantic Segmentation On Vdd
Metrics
mIoU
Results
Performance results of various models on this benchmark
Model Name | mIoU | Paper Title | Repository |
|---|---|---|---|
| Segformer-B0 | 75.37 | VDD: Varied Drone Dataset for Semantic Segmentation | - |
| Mask2Former(Swin-T) | 77.85 | VDD: Varied Drone Dataset for Semantic Segmentation | - |
| UperNet(Swin-L) | 85.63 | VDD: Varied Drone Dataset for Semantic Segmentation | - |
| UperNet(Swin-T) | 84.73 | VDD: Varied Drone Dataset for Semantic Segmentation | - |
| Segformer-B5 | 82.11 | VDD: Varied Drone Dataset for Semantic Segmentation | - |
| Mask2Former(ResNet-50) | 83.21 | VDD: Varied Drone Dataset for Semantic Segmentation | - |
| Segformer-B2 | 85.75 | VDD: Varied Drone Dataset for Semantic Segmentation | - |
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