模型 | mAP (0.5~0.95) | mAP@0.5 | mAP@0.75 | 平均召回率 |
Faster-RCNN [16] | 0.446 | 0.684 | 0.500 | 0.545 |
Mask-RCNN [17] | 0.471 | 0.713 | 0.525 | 0.614 |
RetinaNet [18] | 0.499 | 0.776 | 0.563 | 0.630 |
FCOS [19] | 0.431 | 0.724 | 0.457 | 0.499 |
本文方法 | 0.533 | 0.784 | 0.581 | 0.695 |