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ResearchFormerly WizWand

Semantic Segmentation on OSM 0.1 size (train)

43.46mIoULandSegmenter
-0.053611.243222.5433.8368Nov 11, 2025
Updated 6mo ago

Evaluation results

MethodLinks
LandSegmenterBackbone=SAM2+DOFA, Evaluation Protocol=Fine-tuned2025.1143.46
DeCUR (13B)Backbone=ResNet50, Segmentation Framework=DeepLabv3+, Parameter Count=13B, Evaluation Protocol=Fine-tuned2025.1137.5
CromSS (13B)Backbone=ResNet50, Segmentation Framework=DeepLabv3+, Parameter Count=13B, Evaluation Protocol=Fine-tuned2025.1136.34
CromSS (9B)Backbone=ResNet50, Segmentation Framework=DeepLabv3+, Parameter Count=9B, Evaluation Protocol=Fine-tuned2025.1136.31
DOFABackbone=ViT-Large, Segmentation Framework=UperNet, Evaluation Protocol=Fine-tuned2025.1135.46
satMAE (3B)Backbone=ViT-Large, Segmentation Framework=UperNet, Parameter Count=3B, Evaluation Protocol=Fine-tuned2025.1134.44
satMAE++ (10B)Backbone=ViT-Large, Segmentation Framework=UperNet, Parameter Count=10B, Evaluation Protocol=Fine-tuned2025.1132.26
scaleMAE (3B)Backbone=ViT-Large, Segmentation Framework=UperNet, Parameter Count=3B, Evaluation Protocol=Fine-tuned2025.1132.2
satMAE (10B)Backbone=ViT-Large, Segmentation Framework=UperNet, Parameter Count=10B, Evaluation Protocol=Fine-tuned2025.1129.91
SAM2+HR (3B)Backbone=SAM2, Parameter Count=3B, Evaluation Protocol=Fine-tuned2025.1126.07
SAM2 (3B)Backbone=SAM2, Parameter Count=3B, Evaluation Protocol=Fine-tuned2025.1124.54
satMAE++ (3B)Backbone=ViT-Large, Segmentation Framework=UperNet, Parameter Count=3B, Evaluation Protocol=Fine-tuned2025.1122.89
SAM2+HR+DOFA*Backbone=SAM2+DOFA, Evaluation Protocol=Fine-tuned2025.111.62