Polyp Segmentation on CVC-ClinicDB cross-dataset trained on Kvasir-SEG (test)
74.44mIoUTGANet
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| TGANetBackbone=ResNet502022.05 | 74.44 | 81.96 | 82.9 | 88.79 | 82.07 | |
| DeepLabV3+Backbone=ResNet502022.05 | 73.88 | 81.42 | 83.31 | 87.35 | 81.98 | |
| PraNetBackbone=Res2Net2022.05 | 72.86 | 80.46 | 81.88 | 89.68 | 80.77 | |
| HarDNet-MSEGBackbone=HardNet682022.05 | 60.58 | 69.6 | 71.73 | 85.28 | 70.1 | |
| U-Net2022.05 | 54.33 | 63.36 | 69.82 | 78.91 | 65.63 | |
| ColonSegNet2022.05 | 50.9 | 61.26 | 65.64 | 75.21 | 62.46 |