Object Detection on Glottis
62.7mAPMobile GlottisNet
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Mobile GlottisNetBackbone=MobileNetv3, Model size (MB)=33, Inference (FPS)=53.52026.03 | 62.7 | 91.6 | 72.7 | |
| CMask RCNNBackbone=ResNet50, Model size (MB)=201, Inference (FPS)=16.42026.03 | 55.9 | 83.2 | 62.9 | |
| RTMDet_sBackbone=CSPNeXt, Model size (MB)=149, Inference (FPS)=37.72026.03 | 55.4 | 87.5 | 63.6 | |
| GFLBackbone=ResNet101, Model size (MB)=401, Inference (FPS)=30.12026.03 | 54.2 | 83.8 | 60.7 | |
| Mask RCNNBackbone=Swin-T, Model size (MB)=572, Inference (FPS)=38.22026.03 | 53.8 | 79.4 | 62.4 | |
| ATSSBackbone=ResNet50, Model size (MB)=251, Inference (FPS)=21.62026.03 | 53.7 | 84.8 | 60.1 | |
| QueryInstBackbone=ResNet50, Model size (MB)=209, Inference (FPS)=30.82026.03 | 53.4 | 87 | 57.5 | |
| BoxInstBackbone=ResNet101, Model size (MB)=447, Inference (FPS)=45.72026.03 | 53.3 | 82.7 | 58.5 | |
| Mask RCNNBackbone=ResNet50, Model size (MB)=129, Inference (FPS)=31.52026.03 | 51.2 | 79.1 | 57.1 | |
| PointRendBackbone=ResNet50, Model size (MB)=447, Inference (FPS)=41.42026.03 | 50.2 | 78.4 | 57.2 | |
| MS RCNNBackbone=ResNet50, Model size (MB)=198, Inference (FPS)=17.52026.03 | 48.2 | 75.9 | 53.9 | |
| CondInstBackbone=ResNet50, Model size (MB)=279, Inference (FPS)=46.82026.03 | 41.1 | 79.1 | 36.9 | |
| Mask2FormerBackbone=ResNet50, Model size (MB)=288, Inference (FPS)=38.82026.03 | 39.8 | 72.3 | 39 | |
| YOLACTBackbone=ResNet50, Model size (MB)=114, Inference (FPS)=50.02026.03 | 38.5 | 71.7 | 40.1 | |
| Deform. DETRBackbone=ResNet50, Model size (MB)=474, Inference (FPS)=25.52026.03 | 38.4 | 74.7 | 35.3 | |
| DAB DETRBackbone=ResNet50, Model size (MB)=515, Inference (FPS)=22.42026.03 | 8.7 | 23.7 | 5 | |
| Conditional DETRBackbone=ResNet50, Model size (MB)=512, Inference (FPS)=34.42026.03 | 7.1 | 21.9 | 3 | |
| DETRBackbone=ResNet50, Model size (MB)=497, Inference (FPS)=41.62026.03 | 4.6 | 15.2 | 1.7 |