Glottis Detection on PID
33.6mAPRTMDet
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| RTMDetBackbone=CSPNeXt, Model size (MB)=149, Infer (FPS) Device=37.7, Infer (FPS) Edge=19.12026.03 | 33.6 | 61.1 | 31.7 | |
| Mobile GlottisNet*Backbone=MobileNetv3, Model size (MB)=5, Infer (FPS) Device=62.1, Infer (FPS) Edge=33.22026.03 | 33.6 | 64.3 | 30.5 | |
| Mobile GlottisNetBackbone=MobileNetv3, Model size (MB)=33, Infer (FPS) Device=53.5, Infer (FPS) Edge=26.62026.03 | 33.3 | 57.5 | 35.1 | |
| GFLBackbone=ResNet101, Model size (MB)=401, Infer (FPS) Device=30.1, Infer (FPS) Edge=16.42026.03 | 33.1 | 61.3 | 32.7 | |
| TOODBackbone=ResNet50, Model size (MB)=250, Infer (FPS) Device=28.3, Infer (FPS) Edge=15.72026.03 | 32.1 | 62.5 | 30.2 | |
| ATSSBackbone=ResNet50, Model size (MB)=251, Infer (FPS) Device=21.6, Infer (FPS) Edge=12.12026.03 | 30.3 | 59.5 | 28.4 | |
| RetinaNetBackbone=ResNet50, Model size (MB)=533, Infer (FPS) Device=21.6, Infer (FPS) Edge=12.22026.03 | 29.6 | 53 | 28.9 | |
| VarifocalNetBackbone=ResNet50, Model size (MB)=255, Infer (FPS) Device=19.8, Infer (FPS) Edge=10.62026.03 | 29.3 | 56.3 | 28.1 | |
| Faster RCNNBackbone=ResNet50, Model size (MB)=323, Infer (FPS) Device=51.3, Infer (FPS) Edge=26.12026.03 | 29.1 | 55.1 | 27.6 | |
| CentripetalNetBackbone=Hourglass104, Model size (MB)=2416, Infer (FPS) Device=11.2, Infer (FPS) Edge=5.92026.03 | 28 | 49.2 | 26.5 | |
| Deform. DETRBackbone=ResNet50, Model size (MB)=474, Infer (FPS) Device=25.5, Infer (FPS) Edge=13.82026.03 | 25.7 | 52 | 21.7 | |
| CenterNetBackbone=ResNet18, Model size (MB)=114, Infer (FPS) Device=50.0, Infer (FPS) Edge=25.32026.03 | 25.5 | 54.9 | 24 | |
| ReppointsBackbone=ResNet50, Model size (MB)=288, Infer (FPS) Device=38.8, Infer (FPS) Edge=19.72026.03 | 21.7 | 48.5 | 16.7 | |
| DAB DETRBackbone=ResNet50, Model size (MB)=515, Infer (FPS) Device=22.4, Infer (FPS) Edge=12.62026.03 | 18.4 | 44.2 | 13.9 | |
| Conditional DETRBackbone=ResNet50, Model size (MB)=512, Infer (FPS) Device=34.4, Infer (FPS) Edge=17.92026.03 | 15.6 | 37.3 | 10.2 | |
| Sparse RCNNBackbone=ResNet50, Model size (MB)=1244, Infer (FPS) Device=29.6, Infer (FPS) Edge=16.22026.03 | 11.3 | 21.6 | 10.4 | |
| DETRBackbone=ResNet50, Model size (MB)=497, Infer (FPS) Device=41.6, Infer (FPS) Edge=21.12026.03 | 6.7 | 17.3 | 5.2 |