Semantic Segmentation on Kvasir-SEG 10
0.8227DSCNanoNet-A
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| NanoNet-AParameters=235,4252021.04 | 0.8227 | 0.7282 | 0.8588 | 0.8367 | 0.8354 | 0.9456 | 26.13 | |
| NanoNet-BParameters=132,0492021.04 | 0.786 | 0.6799 | 0.8392 | 0.8004 | 0.8067 | 0.9365 | 29.73 | |
| NanoNet-CParameters=36,5612021.04 | 0.7494 | 0.636 | 0.8081 | 0.7738 | 0.7719 | 0.929 | 32.17 | |
| ResUNet++Parameters=4,070,385, Reference=ISM'192021.04 | 0.731 | 0.6363 | 0.7925 | 0.7932 | 0.7478 | 0.9223 | 19.79 | |
| ResUNetParameters=8,227,393, Reference=GRSL'182021.04 | 0.7203 | 0.6106 | 0.7602 | 0.7624 | 0.7327 | 0.9251 | 17.72 |