Object Detection on NWPU
93.3mAP50Teacher
Evaluation results
| Method | Links | |
|---|---|---|
| TeacherParams(MB)=30.7, BOPs(G)=213572022.12 | 93.3 | |
| TeacherParams(MB)=127, BOPs(G)=1222342022.12 | 93.21 | |
| GHOSTParams(MB)=8.5, BOPs(G)=19272022.12 | 91.97 | |
| ARSDParams(MB)=46, BOPs(G)=272892022.12 | 90.92 | |
| ATSSParams(MB)=75, BOPs(G)=920572022.12 | 90.5 | |
| FCOSParams(MB)=127, BOPs(G)=1194292022.12 | 89.65 | |
| RetainNetParams(MB)=145, BOPs(G)=1262282022.12 | 89.4 | |
| GFLParams(MB)=76, BOPs(G)=939312022.12 | 88.8 | |
| YOLOv3Params(MB)=246, BOPs(G)=1241802022.12 | 88.3 | |
| ShuffleNetParams(MB)=48, BOPs(G)=841422022.12 | 83 | |
| Faster R-CNNParams(MB)=164, BOPs(G)=1307642022.12 | 77.8 | |
| MobileNetV2Params(MB)=41, BOPs(G)=732052022.12 | 76.9 |