Semantic Segmentation on Dataset 25% train data (test)
70.2F1 Score (w/bg)FORTRESS
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| FORTRESSParams (M)=2.89, GFLOPS=1.17, Training data percentage=25%, Data augmentation=true, Dynamic label injection=true2026.01 | 70.2 | 66.9 | 56.8 | 52.3 | 76.9 | 67.6 | 55.4 | |
| SA-UNetParams (M)=7.86, GFLOPS=3.62, Training data percentage=25%, Data augmentation=true, Dynamic label injection=true2026.01 | 67 | 63.3 | 53.3 | 48.3 | 70.3 | 64.5 | 54.9 | |
| Att. U-NetParams (M)=31.4, GFLOPS=13.97, Training data percentage=25%, Data augmentation=true, Dynamic label injection=true2026.01 | 66.7 | 62.9 | 53.3 | 48.3 | 63.9 | 64.2 | 55.5 | |
| U-KANParams (M)=25.36, GFLOPS=1.73, Training data percentage=25%, Data augmentation=true, Dynamic label injection=true2026.01 | 66.6 | 62.9 | 53.1 | 48.1 | 63.3 | 64.1 | 54 | |
| UNet3+Params (M)=25.59, GFLOPS=33.04, Training data percentage=25%, Data augmentation=true, Dynamic label injection=true2026.01 | 66 | 62.2 | 52.5 | 47.4 | 64.3 | 63.1 | 54.2 | |
| BiFPNParams (M)=4.46, GFLOPS=17.76, Training data percentage=25%, Data augmentation=true, Dynamic label injection=true2026.01 | 65.7 | 61.9 | 51.9 | 46.7 | 61.1 | 63.4 | 55.4 | |
| UNeXtParams (M)=6.29, GFLOPS=1.16, Training data percentage=25%, Data augmentation=true, Dynamic label injection=true2026.01 | 65.1 | 61.3 | 51.1 | 45.9 | 62.1 | 62.3 | 51.1 | |
| UNet++Params (M)=4.98, GFLOPS=6.46, Training data percentage=25%, Data augmentation=true, Dynamic label injection=true2026.01 | 63.2 | 59.1 | 49.7 | 44.3 | 56.8 | 61.1 | 51.9 | |
| U-NetParams (M)=31.04, GFLOPS=13.69, Training data percentage=25%, Data augmentation=true, Dynamic label injection=true2026.01 | 62.2 | 58 | 48.3 | 42.8 | 59.3 | 58.7 | 49.6 | |
| Swin-UNetParams (M)=14.5, GFLOPS=0.98, Training data percentage=25%, Data augmentation=true, Dynamic label injection=true2026.01 | 60.3 | 55.8 | 46.8 | 41.2 | 57.5 | 56.6 | 47.6 | |
| HierarchicalViT U-NetParams (M)=14.58, GFLOPS=1.31, Training data percentage=25%, Data augmentation=true, Dynamic label injection=true2026.01 | 56.7 | 51.9 | 43.5 | 37.5 | 60.8 | 53.2 | 41.3 | |
| FPNParams (M)=21.2, GFLOPS=7.81, Training data percentage=25%, Data augmentation=true, Dynamic label injection=true2026.01 | 55.4 | 50.4 | 41.9 | 35.8 | 60.2 | 53.2 | 42.1 | |
| EGE-UNetParams (M)=3.02, GFLOPS=0.31, Training data percentage=25%, Data augmentation=true, Dynamic label injection=true2026.01 | 45.8 | 39.6 | 34 | 27 | 40.9 | 42.4 | 36.6 | |
| MobileUNETRParams (M)=12.71, GFLOPS=1.07, Training data percentage=25%, Data augmentation=true, Dynamic label injection=true2026.01 | 13.3 | 3.2 | 11.4 | 1.9 | 13.1 | 5 | 5.8 | |
| FasterVitParams (M)=25.23, GFLOPS=1.57, Training data percentage=25%, Data augmentation=true, Dynamic label injection=true2026.01 | 12.7 | 2.6 | 11.1 | 1.5 | 12.5 | 4.5 | 4.2 | |
| SegformerParams (M)=13.67, GFLOPS=0.78, Training data percentage=25%, Data augmentation=true, Dynamic label injection=true2026.01 | 12.1 | 1.9 | 10.6 | 1 | 12.2 | 4.3 | 1.1 | |
| Rolling UNet-LParams (M)=28.33, GFLOPS=8.22, Training data percentage=25%, Data augmentation=true, Dynamic label injection=true2026.01 | 11.2 | 0.9 | 10.2 | 0.5 | 11.5 | 2.7 | 1.2 |