Table 2 Comparison of our deep-learning architecture with other methods on the same dataset, where Faster R-CNN means faster region-based convolutional neural network, and SSD means single shot detector.
Method | Representation | mAP | training time |
|---|---|---|---|
Faster R-CNN | ZF | 0.764 | 30 min |
Faster R-CNN | VGG16 | 0.847 | 40 min |
Faster R-CNN | VGG_CNN_M_1024 | 0.754 | 35 min |
SSD23 | VGG16 | 0.874 | 4 h |
Ours | ZF + RPN | 0.885 | 10 min |
