Semantic Segmentation on CSDD (50% train)
0.717F1 Score (w/bg)SA-UNet
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| SA-UNetParams (M)=7.86, GFLOPS=3.62, Size (MB)=1.85, Training Data=50%, Data Augmentation=true, Dynamic Label Injection=true2026.01 | 0.717 | 0.6852 | 0.5856 | 0.5406 | 0.6901 | 0.6954 | 0.6136 | |
| E-FPNParams (M)=8.45, GFLOPS=1.83, Size (MB)=32.26, Training Data=50%, Data Augmentation=true, Dynamic Label Injection=true2026.01 | 0.7082 | 0.6754 | 0.578 | 0.5323 | 0.6343 | 0.6901 | 0.6193 | |
| MobileUNETRParams (M)=12.71, GFLOPS=1.07, Size (MB)=48.62, Training Data=50%, Data Augmentation=true, Dynamic Label Injection=true2026.01 | 0.7032 | 0.6702 | 0.5703 | 0.5245 | 0.681 | 0.6744 | 0.5749 | |
| Att. U-NetParams (M)=31.4, GFLOPS=13.97, Size (MB)=119.85, Training Data=50%, Data Augmentation=true, Dynamic Label Injection=true2026.01 | 0.6993 | 0.6654 | 0.5673 | 0.5202 | 0.6451 | 0.6786 | 0.6116 | |
| BiFPNParams (M)=4.46, GFLOPS=17.76, Size (MB)=17.07, Training Data=50%, Data Augmentation=true, Dynamic Label Injection=true2026.01 | 0.6907 | 0.6557 | 0.5582 | 0.5101 | 0.6397 | 0.6714 | 0.6098 | |
| U-NetParams (M)=31.04, GFLOPS=13.69, Size (MB)=118.47, Training Data=50%, Data Augmentation=true, Dynamic Label Injection=true2026.01 | 0.6844 | 0.6489 | 0.555 | 0.507 | 0.6416 | 0.6637 | 0.582 | |
| UNet++Params (M)=4.98, GFLOPS=6.46, Size (MB)=19.03, Training Data=50%, Data Augmentation=true, Dynamic Label Injection=true2026.01 | 0.6716 | 0.6345 | 0.5416 | 0.492 | 0.5833 | 0.6584 | 0.5734 | |
| U-KANParams (M)=25.36, GFLOPS=1.73, Size (MB)=96.98, Training Data=50%, Data Augmentation=true, Dynamic Label Injection=true2026.01 | 0.6668 | 0.629 | 0.536 | 0.4854 | 0.6086 | 0.6524 | 0.584 | |
| Rolling UNet-LParams (M)=28.33, GFLOPS=8.22, Size (MB)=108.08, Training Data=50%, Data Augmentation=true, Dynamic Label Injection=true2026.01 | 0.6653 | 0.6275 | 0.5286 | 0.4775 | 0.6147 | 0.6421 | 0.5669 | |
| UNeXtParams (M)=6.29, GFLOPS=1.16, Size (MB)=24.02, Training Data=50%, Data Augmentation=true, Dynamic Label Injection=true2026.01 | 0.6629 | 0.6247 | 0.5347 | 0.4842 | 0.5983 | 0.6488 | 0.5856 | |
| UNet3+Params (M)=25.59, GFLOPS=33.04, Size (MB)=97.68, Training Data=50%, Data Augmentation=true, Dynamic Label Injection=true2026.01 | 0.662 | 0.6235 | 0.5361 | 0.4853 | 0.6236 | 0.649 | 0.6157 | |
| FPNParams (M)=21.2, GFLOPS=7.81, Size (MB)=80.89, Training Data=50%, Data Augmentation=true, Dynamic Label Injection=true2026.01 | 0.6556 | 0.6166 | 0.5323 | 0.4816 | 0.6045 | 0.6367 | 0.5889 | |
| SegformerParams (M)=13.67, GFLOPS=0.78, Size (MB)=52.15, Training Data=50%, Data Augmentation=true, Dynamic Label Injection=true2026.01 | 0.643 | 0.6035 | 0.5059 | 0.4541 | 0.6003 | 0.607 | 0.4919 | |
| Swin-UNetParams (M)=14.5, GFLOPS=0.98, Size (MB)=55.42, Training Data=50%, Data Augmentation=true, Dynamic Label Injection=true2026.01 | 0.5979 | 0.5528 | 0.4576 | 0.3997 | 0.5745 | 0.5621 | 0.4708 | |
| FasterVitParams (M)=25.23, GFLOPS=1.57, Size (MB)=96.27, Training Data=50%, Data Augmentation=true, Dynamic Label Injection=true2026.01 | 0.5455 | 0.4939 | 0.4213 | 0.3589 | 0.4816 | 0.5224 | 0.4611 | |
| EGE-UNetParams (M)=3.02, GFLOPS=0.31, Size (MB)=11.54, Training Data=50%, Data Augmentation=true, Dynamic Label Injection=true2026.01 | 0.5168 | 0.462 | 0.3915 | 0.3262 | 0.4585 | 0.4938 | 0.42 | |
| HierarchicalViT U-NetParams (M)=14.58, GFLOPS=1.31, Size (MB)=55.63, Training Data=50%, Data Augmentation=true, Dynamic Label Injection=true2026.01 | 0.4649 | 0.4052 | 0.3342 | 0.2647 | 0.4824 | 0.4228 | 0.3228 |