Semantic Segmentation on Sen1Floods11
94.32mIoU (macro)DEO
Evaluation results
| Method | Links | |
|---|---|---|
| DEOBackbone=Swin, Segmentation Head=UPerNet, Evaluation Protocol=Frozen backbone2026.02 | 94.32 | |
| CROMASegmentation Head=UPerNet, Evaluation Protocol=Frozen backbone2026.02 | 94.16 | |
| TerraFMSegmentation Head=UPerNet, Evaluation Protocol=Frozen backbone2026.02 | 92.72 | |
| Cop.-FMSegmentation Head=UPerNet, Evaluation Protocol=Frozen backbone2026.02 | 92.58 | |
| U-Net BaselineEvaluation Protocol=trained from scratch, Data Modality=include SAR data2026.05 | 91.15 | |
| CROMABackbone=ViT-L2026.03 | 90.9 | |
| GeoSANEBackbone=Swin-B2026.03 | 89.6 | |
| DOFABackbone=ViT-L2026.03 | 89.4 | |
| DINOv3-LSBackbone=ViT-L, Pre-trained=satellite imagery, Segmentation Head=UPerNet, Evaluation Protocol=Frozen backbone2026.02 | 88.78 | |
| TerraMind-BParams=87.7M2026.03 | 88.42 | |
| DINOv2-BBackbone=ViT-B, Segmentation Head=UPerNet, Evaluation Protocol=Frozen backbone2026.02 | 87.92 | |
| DINOv3-BBackbone=ViT-B, Segmentation Head=UPerNet, Evaluation Protocol=Frozen backbone2026.02 | 87.5 | |
| LEPAPre-training Dataset=HLS, CLS=No, PosEnc=default, Params=86.4M2026.03 | 87.37 | |
| FLOROEvaluation Protocol=frozen-encoder, Data Modality=include SAR data2026.05 | 87.306 | |
| LEPAPre-training Dataset=HLS, CLS=No, PosEnc=CondPos, Params=86.4M2026.03 | 87.29 | |
| TerraMind-LEvaluation Protocol=frozen-encoder, Data Modality=include SAR data2026.05 | 87.276 | |
| CROMAParams=201.5M2026.03 | 87.26 | |
| Prithvi-EO-2.0-100MParams=86.4M2026.03 | 87.12 | |
| Prithvi 1.0 100MEvaluation Protocol=frozen-encoder, Data Modality=include SAR data2026.05 | 86.914 | |
| SSL4EO-S12-MoCoEvaluation Protocol=frozen-encoder, Data Modality=include SAR data2026.05 | 86.71 | |
| I-JEPAPre-training Dataset=HLS, CLS=No, PosEnc=default, Params=86.4M2026.03 | 86.69 | |
| SpectralGPTEvaluation Protocol=frozen-encoder, Data Modality=include SAR data2026.05 | 86.409 | |
| SSL4EO-S12-Data2VecEvaluation Protocol=frozen-encoder, Data Modality=include SAR data2026.05 | 86.191 | |
| ViT BaselineEvaluation Protocol=trained from scratch, Data Modality=include SAR data2026.05 | 85.898 | |
| I-JEPAPre-training Dataset=HLS, CLS=Yes, PosEnc=CondPos, Params=86.4M2026.03 | 85.88 | |
| I-JEPAPre-training Dataset=HLS, CLS=Yes, PosEnc=default, Params=86.4M2026.03 | 85.87 | |
| DOFAParams=111.3M2026.03 | 85.51 | |
| LEPAPre-training Dataset=HLS, CLS=Yes, PosEnc=CondPos, Params=86.4M2026.03 | 85.44 | |
| GFMSegmentation Head=UPerNet, Evaluation Protocol=Frozen backbone2026.02 | 85.42 | |
| SSL4EO-S12-DINOEvaluation Protocol=frozen-encoder, Data Modality=include SAR data2026.05 | 85.312 | |
| SSL4EO-S12-MAEEvaluation Protocol=frozen-encoder, Data Modality=include SAR data2026.05 | 85.312 | |
| Scale-MAESegmentation Head=UPerNet, Evaluation Protocol=Frozen backbone2026.02 | 84.77 | |
| DOFAEvaluation Protocol=frozen-encoder, Data Modality=include SAR data2026.05 | 84.63 | |
| CROMAEvaluation Protocol=frozen-encoder, Data Modality=include SAR data2026.05 | 84.513 | |
| SatDiFuserSegmentation Head=UPerNet, Evaluation Protocol=Frozen backbone2026.02 | 84.08 | |
| NoMaskPre-training Dataset=HLS, CLS=No, PosEnc=CondPos, Params=86.4M2026.03 | 83.89 | |
| SatlasNetEvaluation Protocol=frozen-encoder, Data Modality=include SAR data2026.05 | 82.686 | |
| I-JEPAPre-training Dataset=IN-1k, CLS=Yes, PosEnc=default, Params=85.8M2026.03 | 74.74 | |
| Scale-MAEBackbone=ViT-L2026.03 | 74.1 | |
| Scale-MAEEvaluation Protocol=frozen-encoder, Data Modality=include SAR data2026.05 | 73.888 | |
| GFMBackbone=Swin-B2026.03 | 72.6 | |
| I-JEPAPre-training Dataset=IN-1k, CLS=No, PosEnc=default, Params=85.8M2026.03 | 71.75 | |
| GFM-SwinEvaluation Protocol=frozen-encoder, Data Modality=include SAR data2026.05 | 70.505 | |
| RemoteCLIPParams=87.5M2026.03 | 70.28 | |
| RemoteCLIPEvaluation Protocol=frozen-encoder, Data Modality=include SAR data2026.05 | 69.766 |