Medical Image Segmentation on CXR
84.5DSCGeoProto
Evaluation results
| Method | Links | |
|---|---|---|
| GeoProtoBackbone=ResNet-101, Training Source=Abdominal CT, Evaluation Scenario=Cross-context, Few-shot Protocol=1-way 1-shot2026.05 | 84.5 | |
| C-GraphBackbone=ResNet-101, Training Source=Abdominal CT, Evaluation Scenario=Cross-context, Few-shot Protocol=1-way 1-shot2026.05 | 78.38 | |
| PATNetBackbone=ResNet-101, Training Source=Abdominal CT, Evaluation Scenario=Cross-context, Few-shot Protocol=1-way 1-shot2026.05 | 77.65 | |
| IFABackbone=ResNet-101, Training Source=Abdominal CT, Evaluation Scenario=Cross-context, Few-shot Protocol=1-way 1-shot2026.05 | 76.21 | |
| PMNetBackbone=ResNet-101, Training Source=Abdominal CT, Evaluation Scenario=Cross-context, Few-shot Protocol=1-way 1-shot2026.05 | 75.65 | |
| SSL-ALPBackbone=ResNet-101, Training Source=Abdominal CT, Evaluation Scenario=Cross-context, Few-shot Protocol=1-way 1-shot2026.05 | 71.66 | |
| APM-MBackbone=ResNet-101, Training Source=Abdominal CT, Evaluation Scenario=Cross-context, Few-shot Protocol=1-way 1-shot2026.05 | 71.49 | |
| FAMNetBackbone=ResNet-101, Training Source=Abdominal CT, Evaluation Scenario=Cross-context, Few-shot Protocol=1-way 1-shot2026.05 | 67.02 | |
| RobustEMDBackbone=ResNet-101, Training Source=Abdominal CT, Evaluation Scenario=Cross-context, Few-shot Protocol=1-way 1-shot2026.05 | 63.99 | |
| RPTBackbone=ResNet-101, Training Source=Abdominal CT, Evaluation Scenario=Cross-context, Few-shot Protocol=1-way 1-shot2026.05 | 58.48 | |
| GMRDBackbone=ResNet-101, Training Source=Abdominal CT, Evaluation Scenario=Cross-context, Few-shot Protocol=1-way 1-shot2026.05 | 52.31 | |
| ADNetBackbone=ResNet-101, Training Source=Abdominal CT, Evaluation Scenario=Cross-context, Few-shot Protocol=1-way 1-shot2026.05 | 40.32 |