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Semantic Segmentation On Lombardia Sentinel 2
Metrics
Overall Accuracy
Results
Performance results of various models on this benchmark
| Paper Title | Repository | ||
|---|---|---|---|
| UNet3D | 80.77 | Enhancing crop segmentation in satellite image time-series with transformer networks | - |
| Swin UNETR | 79.64 | Enhancing crop segmentation in satellite image time-series with transformer networks | - |
| 3D FPN with NDVI Loss | 77.23 | Enhancing crop segmentation in satellite image time-series with transformer networks | - |
| DeepLabv3 3D | 74.51 | Enhancing crop segmentation in satellite image time-series with transformer networks | - |
0 of 4 row(s) selected.