Semantic Segmentation on FBPS
77.24mIoUSFR-Net
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| SFR-NetBackbone=Swin-Large [26], Segmentation Category=Ultra-Wide Area Segmentation2026.05 | 77.24 | 92.91 | 2,314 | |
| RESTBackbone=Swin-Large [26], Segmentation Category=Whole-Scene Remote Sensing Image Segmentation2026.05 | 72.95 | 92.78 | 2,114 | |
| Swin TransformerBackbone=Swin-Large [26], Segmentation Category=Generic Semantic Segmentation2026.05 | 69.68 | 90.51 | 2,156 | |
| SegFormerBackbone=MiT-B5 [25], Segmentation Category=Generic Semantic Segmentation2026.05 | 65.73 | 89.3 | 1,000 | |
| FCNBackbone=HRNet48 [52], Segmentation Category=Generic Semantic Segmentation2026.05 | 64.84 | 88.95 | 974 | |
| PSPNetBackbone=ResNet101 [20], Segmentation Category=Generic Semantic Segmentation2026.05 | 64.48 | 89.02 | 1,130 | |
| DeepLabv3+Backbone=ResNet101 [20], Segmentation Category=Generic Semantic Segmentation2026.05 | 64.01 | 89 | 1,098 | |
| OCRNetBackbone=HRNet48 [52], Segmentation Category=Generic Semantic Segmentation2026.05 | 63.91 | 89.33 | 1,160 | |
| PointRendBackbone=ResNet101 [20], Segmentation Category=Generic Semantic Segmentation2026.05 | 60.93 | 88.16 | 772 | |
| ConvNeXtBackbone=ConvNeXt [54], Segmentation Category=Generic Semantic Segmentation2026.05 | 59.72 | 88.13 | 2,204 | |
| STDCBackbone=STDC [23], Segmentation Category=Generic Semantic Segmentation2026.05 | 50.94 | 85.7 | 568 | |
| FCtL+Backbone=VGG16 [55], Segmentation Category=Ultra-High Resolution Segmentation2026.05 | 48.28 | — | — | |
| ISDNetBackbone=ResNet18 [20], Segmentation Category=Ultra-High Resolution Segmentation2026.05 | 47.78 | 85.62 | 7,830 | |
| GLNetBackbone=ResNet50 [20], Segmentation Category=Ultra-High Resolution Segmentation2026.05 | 44.73 | — | — | |
| MagNetBackbone=ResNet50 [20], Segmentation Category=Ultra-High Resolution Segmentation2026.05 | 44.2 | — | — |