Semantic Segmentation on Mean over 8 Remote Sensing Datasets
49.01Mean mIoUDR-Seg
Evaluation results
| Method | Links | ||
|---|---|---|---|
| DR-SegBackbone=ViT-L, Training Dataset=DLRSD2026.04 | 49.01 | 64.9 | |
| RSKT-SegBackbone=ViT-L, Training Dataset=DLRSD2026.04 | 46.18 | 62.35 | |
| DR-SegBackbone=ViT-B, Training Dataset=DLRSD2026.04 | 45 | 60.42 | |
| GSNetBackbone=ViT-L, Training Dataset=DLRSD2026.04 | 44.56 | 60.89 | |
| OVRSBackbone=ViT-L, Training Dataset=DLRSD2026.04 | 44.39 | 60.24 | |
| Cat-SegBackbone=ViT-L, Training Dataset=DLRSD2026.04 | 44.23 | 57.58 | |
| RSKT-SegBackbone=ViT-B, Training Dataset=DLRSD2026.04 | 43.9 | 59.51 | |
| SANBackbone=ViT-L, Training Dataset=DLRSD2026.04 | 41.8 | 53.81 | |
| SEDBackbone=ConvNeXt-L, Training Dataset=DLRSD2026.04 | 40.18 | 53.13 | |
| GSNetBackbone=ViT-B, Training Dataset=DLRSD2026.04 | 40.08 | 55.87 | |
| OVRSBackbone=ViT-B, Training Dataset=DLRSD2026.04 | 39.57 | 54.51 | |
| DR-SegBackbone=ViT-L, Training Dataset=iSAID2026.04 | 37.84 | 60.14 | |
| SANBackbone=ViT-B, Training Dataset=DLRSD2026.04 | 36.96 | 51.36 | |
| RSKT-SegBackbone=ViT-L, Training Dataset=iSAID2026.04 | 36.76 | 57.91 | |
| Cat-SegBackbone=ViT-B, Training Dataset=DLRSD2026.04 | 36.62 | 52.21 | |
| OVRSBackbone=ViT-L, Training Dataset=iSAID2026.04 | 36.18 | 56.05 | |
| GSNetBackbone=ViT-L, Training Dataset=iSAID2026.04 | 35.71 | 56.48 | |
| DR-SegBackbone=ViT-B, Training Dataset=iSAID2026.04 | 33.89 | 55.3 | |
| Cat-SegBackbone=ViT-L, Training Dataset=iSAID2026.04 | 33.11 | 52.8 | |
| SEDBackbone=ConvNeXt-B, Training Dataset=DLRSD2026.04 | 32.88 | 47.91 | |
| SCANBackbone=ViT-L, Training Dataset=DLRSD2026.04 | 30.78 | 45.87 | |
| RSKT-SegBackbone=ViT-B, Training Dataset=iSAID2026.04 | 30.03 | 52.73 | |
| SANBackbone=ViT-L, Training Dataset=iSAID2026.04 | 30.01 | 49.98 | |
| SEDBackbone=ConvNeXt-L, Training Dataset=iSAID2026.04 | 28.99 | 44.01 | |
| GSNetBackbone=ViT-B, Training Dataset=iSAID2026.04 | 27.87 | 47.14 | |
| OVRSBackbone=ViT-B, Training Dataset=iSAID2026.04 | 27.59 | 47.05 | |
| Cat-SegBackbone=ViT-B, Training Dataset=iSAID2026.04 | 26.82 | 46.45 | |
| SCANBackbone=ViT-B, Training Dataset=DLRSD2026.04 | 25.43 | 41.19 | |
| SANBackbone=ViT-B, Training Dataset=iSAID2026.04 | 25.04 | 41.65 | |
| SCANBackbone=ViT-L, Training Dataset=iSAID2026.04 | 24.69 | 44.86 | |
| SEDBackbone=ConvNeXt-B, Training Dataset=iSAID2026.04 | 24.05 | 38.97 | |
| SCANBackbone=ViT-B, Training Dataset=iSAID2026.04 | 18.95 | 35.78 |