Semantic Segmentation on Chesapeake Bay watershed 1-m images and 30-m labels (test)
65.57Accuracy (Delaware)Paraformer
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| ParaformerResolution gap=30x2024.03 | 65.57 | 71.43 | 70.2 | 60.04 | 68.01 | 52.62 | 64.65 | |
| L2HNetResolution gap=30x2024.03 | 61.77 | 68.12 | 65.24 | 58.52 | 69.39 | 55.43 | 63.08 | |
| SkipFCNResolution gap=30x2024.03 | 60.97 | 64.83 | 59.44 | 55.37 | 64.72 | 54.66 | 60 | |
| DC-SwinResolution gap=30x2024.03 | 59.65 | 65.99 | 58.6 | 58.06 | 64.11 | 48.15 | 59.09 | |
| RFResolution gap=30x2024.03 | 59.35 | 55.03 | 55.26 | 51.07 | 52.29 | 54.36 | 54.56 | |
| UNetFormerResolution gap=30x2024.03 | 58.85 | 65.11 | 61.34 | 59.1 | 60.84 | 47.2 | 58.74 | |
| LinkNetResolution gap=30x2024.03 | 58.27 | 62.05 | 52.96 | 52.11 | 48.71 | 48.93 | 53.84 | |
| MobileViTResolution gap=30x2024.03 | 58.03 | 61.32 | 61.84 | 55.53 | 57.04 | 48.64 | 57.07 | |
| SSDAResolution gap=30x2024.03 | 57.91 | 61.54 | 54.85 | 51.71 | 57.71 | 47.15 | 55.15 | |
| CoAtNetResolution gap=30x2024.03 | 56.89 | 62.83 | 61.25 | 53.57 | 65.67 | 51.34 | 58.59 | |
| ConViTResolution gap=30x2024.03 | 55.26 | 60.71 | 61.58 | 53.94 | 59.8 | 49.11 | 56.73 | |
| UNetResolution gap=30x2024.03 | 54.16 | 58.79 | 56.42 | 53.21 | 57.34 | 46.11 | 54.34 | |
| EfficientViTResolution gap=30x2024.03 | 53.72 | 61.28 | 59.48 | 51.38 | 57.34 | 48.76 | 55.33 | |
| TransUNetResolution gap=30x2024.03 | 53.15 | 60.53 | 60.42 | 51.08 | 66.21 | 47.52 | 56.49 | |
| HRNetResolution gap=30x2024.03 | 52.11 | 56.21 | 50.76 | 50.03 | 57.48 | 45.42 | 52 |