Table 2 The optimal values of Bbox mAP, Segm mAP and loss during the training process.
Model | Bbox mAP/% | Segm mAP/% | Recall/% | FPS |
|---|---|---|---|---|
Cascade Mask R-CNN | 83.35 | 81.18 | 89.69 | 21.64 |
YOLACT | 79.44 | 77.02 | 85.98 | 23.18 |
SOLOv2 | 81.32 | 79.47 | 88.64 | 20.61 |
DetectoRS | 84.05 | 82.72 | 90.31 | 17.53 |
Mask Deformable DETR | 82.94 | 80.88 | 88.96 | 18.94 |
Adapt-Cascade | 91.06 | 89.68 | 96.32 | 19.20 |