Polyp Detection and Localisation on Kvasir-SEG
87.45APRetinaNet
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| RetinaNetBackbone=ResNet101, FPS=16.82020.11 | 87.45 | 75.79 | 94.83 | 90.95 | 71.32 | |
| RetinaNetBackbone=ResNet50, FPS=16.22020.11 | 86.97 | 73.13 | 93.95 | 90.95 | 69.67 | |
| YOLOv4Backbone=Darknet53, CSP, FPS=482020.11 | 85.13 | 80.25 | 91.23 | 82.34 | 75.94 | |
| YOLOv3+sppBackbone=Darknet53, FPS=45.012020.11 | 81.05 | 82.48 | 88.56 | 85.32 | 75.86 | |
| ColonSegNetBackbone=N/A, FPS=1802020.11 | 80 | 81 | 90 | 81.66 | 67.06 | |
| Faster R-CNNBackbone=ResNet50, FPS=82020.11 | 78.66 | 56.21 | 89.47 | 84.18 | 56.6 | |
| EfficientDet-D0Backbone=EfficientNet-b0, biFPN, FPS=352020.11 | 47.56 | 43.22 | 68.46 | 50.47 | 22.8 |