Semantic Segmentation on M-Building
80.69mIoUGSAM
Evaluation Results
| Method | Links | |
|---|---|---|
| GSAMImage type=Satellite, Class=2, Image size=1500 × 1500, Random crop=512 × 512, Random cropping applied=true2024.08 | 80.69 | |
| AdaptFormerImage type=Satellite, Class=2, Image size=1500 × 1500, Random crop=512 × 512, Random cropping applied=false2024.08 | 80.46 | |
| SM-AdaptFormerImage type=Satellite, Class=2, Image size=1500 × 1500, Random crop=512 × 512, Random cropping applied=false2024.08 | 80.41 | |
| U-NetImage type=Satellite, Class=2, Image size=1500 × 1500, Random crop=512 × 512, Random cropping applied=true2024.08 | 77.73 | |
| ConvLoRAImage type=Satellite, Class=2, Image size=1500 × 1500, Random crop=512 × 512, Random cropping applied=false2024.08 | 77.32 | |
| LoRAImage type=Satellite, Class=2, Image size=1500 × 1500, Random crop=512 × 512, Random cropping applied=false2024.08 | 76.76 | |
| DeepLabv3+Image type=Satellite, Class=2, Image size=1500 × 1500, Random crop=512 × 512, Random cropping applied=true2024.08 | 76.05 | |
| SAMImage type=Satellite, Class=2, Image size=1500 × 1500, Random crop=512 × 512, Random cropping applied=false2024.08 | 67.59 | |
| SAMUSImage type=Satellite, Class=2, Image size=1500 × 1500, Random crop=512 × 512, Random cropping applied=false, Input image size=256 × 2562024.08 | 49.87 |