Semantic Segmentation on iSAID (val)
67.4IoUConvNeXt-T
Evaluation results
| Method | Links | |||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ConvNeXt-TPretrain=CSP-32026.04 | 67.4 | — | 71.6 | 75.5 | 79.3 | 88.9 | 66.1 | 59.7 | 42.6 | 65.2 | 51.8 | 36.9 | 51 | 71.6 | 76.4 | 85.2 | 58.4 | |
| ConvNeXt-TPretrain=IM-RGB2026.04 | 66.6 | — | 72.8 | 75 | 77.5 | 89 | 67.4 | 59.3 | 42 | 66 | 51.9 | 38 | 50.7 | 57.6 | 73.4 | 85.2 | 60.1 | |
| Swin-TPretrain=CSP-32026.04 | 66.2 | — | 71.1 | 73.7 | 76.7 | 88.5 | 61.8 | 59.9 | 38.6 | 65.5 | 50.7 | 39.7 | 49.1 | 67.4 | 75.4 | 84.4 | 58.1 | |
| Swin-TPretrain=IM-RGB2026.04 | 64.6 | — | 69.2 | 76.5 | 74.1 | 69.9 | 56.3 | 60.1 | 41.9 | 62.3 | 51.6 | 44.7 | 45.8 | 64.5 | 75.9 | 85.7 | 56.7 | |
| Swin-TPretrain=RSP [23]2026.04 | 64.1 | — | 67 | 74.6 | 73.7 | 70.7 | 59 | 60.1 | 44.3 | 62 | 50.6 | 37.6 | 46.8 | 64.9 | 76.2 | 85.2 | 53.8 | |
| SatSynthSegmentation backbone=FPN-ResNet502024.03 | 52.13 | 66.13 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SegDiffSegmentation backbone=FPN-ResNet502024.03 | 41.25 | 54.77 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SemGANSegmentation backbone=FPN-ResNet502024.03 | 13.01 | 18.08 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |