Object Detection on GSD (test)
91.6AP50adversarial augmentation policy learning
Evaluation results
| Method | Links | ||
|---|---|---|---|
| adversarial augmentation policy learningBackbone=YOLOv3, Params (M)=61.524, GFLOPs=55.18, Inference time (ms/image)=19.82026.06 | 91.6 | 67 | |
| DAI-NetBackbone=YOLOv3, Params (M)=61.770, GFLOPs=55.18, Inference time (ms/image)=19.82026.06 | 91.4 | 64.7 | |
| FeatEnHancerBackbone=YOLOv3, Params (M)=61.663, GFLOPs=86.73, Inference time (ms/image)=20.52026.06 | 91.3 | 64.4 | |
| YOLABackbone=YOLOv3, Params (M)=61.538, GFLOPs=57.81, Inference time (ms/image)=25.82026.06 | 91.3 | 62.4 | |
| BaselineBackbone=YOLOv3, Params (M)=61.524, GFLOPs=55.18, Inference time (ms/image)=19.82026.06 | 90.7 | 65 |