Polyp Segmentation on Kvasir-SEG 100 random images
93.29Dice CoefficientWEFT
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| WEFTTrainable Params (M)=14.372026.01 | 93.29 | 88.75 | — | 94.19 | |
| HSNet2023.08 | 92 | 87 | 91 | — | |
| CFANetTrainable Params (M)=25.242026.01 | 91.7 | 86.98 | — | 90.53 | |
| MEGANetTrainable Params (M)=44.192026.01 | 91.35 | 86.19 | — | 92.13 | |
| DPU-FormerTrainable Params (M)=44.202026.01 | 91.23 | 86.09 | — | 92.7 | |
| LSSNetTrainable Params (M)=35.942026.01 | 91.11 | 86.6 | — | 90.79 | |
| CFA-Net2023.08 | 91 | 86 | 90 | — | |
| Polyp-PVT2023.08 | 91 | 86 | 91 | — | |
| EU-Net2023.08 | 90 | 85 | 89 | — | |
| SANet2023.08 | 90 | 84 | 89 | — | |
| MSNet2023.08 | 90 | 84 | 89 | — | |
| FAPNet2023.08 | 90 | 84 | 89 | — | |
| Polyp-SAM2023.08 | 90 | 86 | — | — | |
| Polyp-SAM++2023.08 | 90 | 86 | 92 | — | |
| PraNet2023.08 | 89 | 84 | 88 | — | |
| ACSNet2023.08 | 89 | 83 | 88 | — | |
| MSEG2023.08 | 89 | 83 | 88 | — | |
| DCRNetTrainable Params (M)=28.732026.01 | 88.81 | 83.84 | — | 88.14 | |
| DCRNet2023.08 | 88 | 82 | 86 | — | |
| C2FNet2023.08 | 88 | 83 | 87 | — | |
| LDNet2023.08 | 88 | 82 | 86 | — | |
| UNet++2023.08 | 82 | 74 | 80 | — | |
| UNet2023.08 | 81 | 74.6 | 79 | — | |
| FSELTrainable Params (M)=67.132026.01 | 80.54 | 85.58 | — | 90.81 | |
| SAM-LBackbone=ViT-L2023.08 | 78 | 71 | 77 | — | |
| SAM-HBackbone=ViT-H2023.08 | 77 | 70 | 76 | — | |
| SFA2023.08 | 72 | 61 | 67 | — |