Change Detection Dataset (test)
99.68AccuracyBasicFCN
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| BasicFCNtype=Ensemble, threshold=0.452025.12 | 99.68 | 67.24 | 83.13 | 77.87 | 80.41 | 80.25 | |
| Simple Votingtype=Ensemble2025.12 | 99.66 | 65.51 | 83.32 | 75.4 | 79.16 | 78.99 | |
| Weighted Votingtype=Ensemble2025.12 | 99.66 | 66.07 | 79.57 | 79.57 | 79.57 | 79.39 | |
| SwinUNETR-V2type=Base Model, threshold=0.42025.12 | 99.63 | 64.2 | 77.25 | 79.17 | 78.2 | 78.01 | |
| UNet++type=Base Model, threshold=0.52025.12 | 99.62 | 63.37 | 78.08 | 77.08 | 77.58 | 77.39 | |
| TransUNettype=Base Model, threshold=0.452025.12 | 99.61 | 62.44 | 77.07 | 76.69 | 76.88 | 76.68 | |
| MultiResUNettype=Base Model, threshold=0.452025.12 | 99.57 | 59.78 | 73.21 | 76.52 | 74.83 | 74.61 |