Techniques | Recall | Precision | F1-score | Accuracy | AUC |
RetinaNet | 0.62 | 0.72 | 0.77 | 0.77 | 0.72 |
Cascade R-CNN | 0.63 | 0.76 | 0.78 | 0.72 | 0.74 |
Faster-rcnn | 0.67 | 0.56 | 0.61 | 0.62 | 0.63 |
Grid R-CNN | 0.60 | 0.71 | 0.72 | 0.69 | 0.71 |
BYOL | 0.89 | 0.78 | 0.84 | 0.86 | 0.87 |