Classification on ICIAR (test)
0.17Mean Absolute ErrorELB
Evaluation results
| Method | Links | ||
|---|---|---|---|
| ELBBackbone=ResNet-18, Pooling=WILDCAT2019.11 | 0.17 | 99.32 | |
| CEBackbone=ResNet-18, Pooling=WILDCAT2019.11 | 0.19 | 80.05 | |
| PNBackbone=ResNet-18, Pooling=WILDCAT2019.11 | 0.19 | 84.69 | |
| RENBackbone=ResNet-18, Pooling=WILDCAT2019.11 | 0.23 | 54.94 | |
| LDBackbone=ResNet-18, Pooling=WILDCAT2019.11 | 0.49 | 91.02 | |
| POBackbone=ResNet-18, Pooling=WILDCAT2019.11 | 0.6 | 61.27 | |
| MVBackbone=ResNet-18, Pooling=WILDCAT2019.11 | 0.61 | 62.99 |