Semantic Segmentation on Mexilhão (train)
0.9998Mean AccuracyAttention U-Net
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Attention U-NetSpacing=102025.11 | 0.9998 | 0.9899 | 0.0122 | |
| Attention U-NetSpacing=402025.11 | 0.9998 | 0.9893 | 0.0642 | |
| CFAS U-NetSpacing=102025.11 | 0.9998 | 0.9911 | 0.0154 | |
| U-Net++Spacing=102025.11 | 0.9997 | 0.9877 | 0.0158 | |
| U-Net++Spacing=202025.11 | 0.9997 | 0.9866 | 0.0225 | |
| Attention U-NetSpacing=202025.11 | 0.9997 | 0.989 | 0.0385 | |
| CFAS U-NetSpacing=202025.11 | 0.9997 | 0.9875 | 0.0459 | |
| CFAS U-NetSpacing=402025.11 | 0.9997 | 0.9882 | 0.078 | |
| U-Net++Spacing=402025.11 | 0.9996 | 0.9825 | 0.107 | |
| CFA U-NetSpacing=102025.11 | 0.9996 | 0.9827 | 0.0213 | |
| CFA U-NetSpacing=202025.11 | 0.9996 | 0.9841 | 0.0195 | |
| U-NetSpacing=202025.11 | 0.9995 | 0.9769 | 0.024 | |
| CFA U-NetSpacing=402025.11 | 0.9995 | 0.9789 | 0.0449 | |
| U-NetSpacing=102025.11 | 0.9993 | 0.9685 | 0.0332 | |
| U-NetSpacing=402025.11 | 0.9987 | 0.9432 | 0.0627 | |
| Compressed U-NetSpacing=202025.11 | 0.9969 | 0.8809 | 0.3829 | |
| Compressed U-NetSpacing=402025.11 | 0.9966 | 0.8729 | 0.4874 | |
| Compressed U-NetSpacing=102025.11 | 0.9957 | 0.8543 | 0.4457 |