方法 | OA | IoU | P | R | F1 |
TransUNet | 0.9653 | 0.8988 | 0.9528 | 0.9409 | 0.9464 |
SwinUNet | 0.9189 | 0.8147 | 0.8908 | 0.9011 | 0.8941 |
U-Net-vgg16 | 0.9704 | 0.9285 | 0.9595 | 0.9665 | 0.9628 |
U-Net-Res50 | 0.9725 | 0.9439 | 0.9721 | 0.9703 | 0.9711 |
DeeplabV3+ | 0.9714 | 0.9218 | 0.9589 | 0.9559 | 0.9574 |
CUT_UNet | 0.9746 | 0.9503 | 0.9749 | 0.9720 | 0.9734 |
MSANet | 0.9857 | 0.9510 | 0.9761 | 0.9737 | 0.9748 |