Method | Params(M) | FLOPs(G) | Training Times(s) | Inference Times(ms) |
---|---|---|---|---|
SwinUNetr | 61.99 | 329.29 | 58.34 | 53.41 |
UNetr | 101.62 | 264.66 | 33.87 | 36.59 |
SegResNet | 7.16 | 12.49 | 8.10 | 20.26 |
UNet | 1.78 | 24.27 | 6.41 | 20.75 |
AttentionUNet | 5.91 | 61.77 | 12.79 | 20.12 |
DynUNet | 33.09 | 829.44 | 22.23 | 21.45 |
GLIANet | 13.09 | 814.77 | 49.74 | 39.19 |
Ours | 2.10 | 25.71 | 31.62 | 34.25 |