Semantic Segmentation on Mumbai (mIoU)
0.783mIoUSLUM-i
Evaluation Results
| Method | Links | |
|---|---|---|
| SLUM-iBudget=10%, Backbone=DINOv22026.02 | 0.783 | |
| UniMatch-v2Budget=10%, Backbone=DINOv22026.02 | 0.78 | |
| Fully SupervisedBudget=100%, Backbone=DINOv22026.02 | 0.78 | |
| UniMatch-v2Budget=20%, Backbone=DINOv22026.02 | 0.771 | |
| Fully SupervisedBudget=100%, Backbone=ResNet2026.02 | 0.766 | |
| SLUM-iBudget=30%, Backbone=ResNet2026.02 | 0.765 | |
| UniMatchBudget=20%, Backbone=ResNet2026.02 | 0.764 | |
| SLUM-iBudget=20%, Backbone=DINOv22026.02 | 0.763 | |
| SupervisedBudget=30%, Backbone=DINOv22026.02 | 0.758 | |
| UniMatch-v2Budget=30%, Backbone=DINOv22026.02 | 0.758 | |
| FixMatchBudget=30%, Backbone=ResNet2026.02 | 0.757 | |
| FixMatchBudget=10%, Backbone=ResNet2026.02 | 0.755 | |
| SupervisedBudget=30%, Backbone=ResNet2026.02 | 0.752 | |
| SLUM-iBudget=20%, Backbone=ResNet2026.02 | 0.748 | |
| UniMatchBudget=30%, Backbone=ResNet2026.02 | 0.741 | |
| SupervisedBudget=10%, Backbone=DINOv22026.02 | 0.739 | |
| SLUM-iBudget=30%, Backbone=DINOv22026.02 | 0.739 | |
| UniMatchBudget=10%, Backbone=ResNet2026.02 | 0.728 | |
| SupervisedBudget=10%, Backbone=ResNet2026.02 | 0.726 | |
| FixMatchBudget=20%, Backbone=ResNet2026.02 | 0.72 | |
| SLUM-iBudget=10%, Backbone=ResNet2026.02 | 0.719 | |
| SupervisedBudget=20%, Backbone=ResNet2026.02 | 0.713 | |
| SupervisedBudget=20%, Backbone=DINOv22026.02 | 0.705 |