Semantic Segmentation on DW 0.1 (train)
60.33mIoULandSegmenter
Evaluation Results
| Method | Links | |
|---|---|---|
| LandSegmenterBackbone=SAM2+DOFA, Evaluation Protocol=Fine-tuned2025.11 | 60.33 | |
| CromSS (13B)Backbone=ResNet50, Segmentation Framework=DeepLabv3+, Parameter Count=13B, Evaluation Protocol=Fine-tuned2025.11 | 59.33 | |
| CromSS (9B)Backbone=ResNet50, Segmentation Framework=DeepLabv3+, Parameter Count=9B, Evaluation Protocol=Fine-tuned2025.11 | 57.89 | |
| DOFABackbone=ViT-Large, Segmentation Framework=UperNet, Evaluation Protocol=Fine-tuned2025.11 | 54.99 | |
| DeCUR (13B)Backbone=ResNet50, Segmentation Framework=DeepLabv3+, Parameter Count=13B, Evaluation Protocol=Fine-tuned2025.11 | 54.81 | |
| satMAE (3B)Backbone=ViT-Large, Segmentation Framework=UperNet, Parameter Count=3B, Evaluation Protocol=Fine-tuned2025.11 | 52.9 | |
| scaleMAE (3B)Backbone=ViT-Large, Segmentation Framework=UperNet, Parameter Count=3B, Evaluation Protocol=Fine-tuned2025.11 | 52.23 | |
| satMAE++ (10B)Backbone=ViT-Large, Segmentation Framework=UperNet, Parameter Count=10B, Evaluation Protocol=Fine-tuned2025.11 | 50.16 | |
| satMAE (10B)Backbone=ViT-Large, Segmentation Framework=UperNet, Parameter Count=10B, Evaluation Protocol=Fine-tuned2025.11 | 46.61 | |
| SAM2 (3B)Backbone=SAM2, Parameter Count=3B, Evaluation Protocol=Fine-tuned2025.11 | 45.82 | |
| satMAE++ (3B)Backbone=ViT-Large, Segmentation Framework=UperNet, Parameter Count=3B, Evaluation Protocol=Fine-tuned2025.11 | 39.7 | |
| SAM2+HR (3B)Backbone=SAM2, Parameter Count=3B, Evaluation Protocol=Fine-tuned2025.11 | 7.88 | |
| SAM2+HR+DOFA*Backbone=SAM2+DOFA, Evaluation Protocol=Fine-tuned2025.11 | 4.07 |