From: BEGL: boundary enhancement with Gaussian Loss for rock-art image segmentation
Methods | Accuracy | Precision | Recall | F1-score | MIoU | DSC |
---|---|---|---|---|---|---|
BE-UNet | 0.695 | 0.450 | 0.964 | 0.613 | 0.514 | 0.613 |
FL-UNet | 0.757 | 0.899 | 0.056 | 0.104 | 0.404 | 0.104 |
DL-UNet | 0.829 | 0.591 | 0.992 | 0.739 | 0.679 | 0.739 |
BCE-UNet | 0.907 | 0.804 | 0.832 | 0.804 | 0.778 | 0.804 |
BEGL-UNet | 0.935 | 0.863 | 0.873 | 0.865 | 0.840 | 0.865 |