Glottis Detection on Clinical
37.6mAPRetinaNet
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| RetinaNetBackbone=ResNet50, Model size (MB)=533, Infer (FPS) Device=21.6, Infer (FPS) Edge=12.22026.03 | 37.6 | 65.6 | 39.9 | |
| TOODBackbone=ResNet50, Model size (MB)=250, Infer (FPS) Device=28.3, Infer (FPS) Edge=15.72026.03 | 37 | 60.3 | 39.9 | |
| Mobile GlottisNetBackbone=MobileNetv3, Model size (MB)=33, Infer (FPS) Device=53.5, Infer (FPS) Edge=26.62026.03 | 35.5 | 66.8 | 33.9 | |
| GFLBackbone=ResNet101, Model size (MB)=401, Infer (FPS) Device=30.1, Infer (FPS) Edge=16.42026.03 | 34.9 | 61.5 | 35.7 | |
| RTMDetBackbone=CSPNeXt, Model size (MB)=149, Infer (FPS) Device=37.7, Infer (FPS) Edge=19.12026.03 | 34 | 59.6 | 34.8 | |
| Faster RCNNBackbone=ResNet50, Model size (MB)=323, Infer (FPS) Device=51.3, Infer (FPS) Edge=26.12026.03 | 32.4 | 61 | 29.3 | |
| Mobile GlottisNet*Backbone=MobileNetv3, Model size (MB)=5, Infer (FPS) Device=62.1, Infer (FPS) Edge=33.22026.03 | 29.9 | 59.6 | 27.3 | |
| VarifocalNetBackbone=ResNet50, Model size (MB)=255, Infer (FPS) Device=19.8, Infer (FPS) Edge=10.62026.03 | 28.8 | 56.5 | 26.5 | |
| Deform. DETRBackbone=ResNet50, Model size (MB)=474, Infer (FPS) Device=25.5, Infer (FPS) Edge=13.82026.03 | 28.7 | 58.9 | 27.3 | |
| Sparse RCNNBackbone=ResNet50, Model size (MB)=1244, Infer (FPS) Device=29.6, Infer (FPS) Edge=16.22026.03 | 21 | 37.7 | 20.7 | |
| DAB DETRBackbone=ResNet50, Model size (MB)=515, Infer (FPS) Device=22.4, Infer (FPS) Edge=12.62026.03 | 18.3 | 43.5 | 13.5 | |
| ATSSBackbone=ResNet50, Model size (MB)=251, Infer (FPS) Device=21.6, Infer (FPS) Edge=12.12026.03 | 17.8 | 39.5 | 13.6 | |
| ReppointsBackbone=ResNet50, Model size (MB)=288, Infer (FPS) Device=38.8, Infer (FPS) Edge=19.72026.03 | 15.5 | 33.5 | 12.2 | |
| CenterNetBackbone=ResNet18, Model size (MB)=114, Infer (FPS) Device=50.0, Infer (FPS) Edge=25.32026.03 | 12.6 | 25.9 | 10.9 | |
| Conditional DETRBackbone=ResNet50, Model size (MB)=512, Infer (FPS) Device=34.4, Infer (FPS) Edge=17.92026.03 | 10.5 | 34.1 | 2.6 | |
| DETRBackbone=ResNet50, Model size (MB)=497, Infer (FPS) Device=41.6, Infer (FPS) Edge=21.12026.03 | 9.2 | 21.6 | 6.4 | |
| CentripetalNetBackbone=Hourglass104, Model size (MB)=2416, Infer (FPS) Device=11.2, Infer (FPS) Edge=5.92026.03 | 5.3 | 9.9 | 4.7 |