Seedling Detection on Garlic seedling dataset extreme-brightness stress (test)
91.6AP50Adversarial augmentation policy learning (Ours)
Evaluation results
| Method | Links | |
|---|---|---|
| Adversarial augmentation policy learning (Ours)Backbone=YOLOv32026.06 | 91.6 | |
| DAI-NetBackbone=YOLOv3, Reference=Du et al., 20242026.06 | 91.4 | |
| FeatEnHancerBackbone=YOLOv3, Reference=Hashmi et al., 20232026.06 | 91.3 | |
| YOLABackbone=YOLOv3, Reference=Hong et al., 20242026.06 | 91.3 | |
| BaselineBackbone=YOLOv3, Training Strategy=original training images without additional modules2026.06 | 90.7 |