Figure 2

Flowchart of our deep learning-based method. The method consists of four convolutional layers (1~4) for extracting feature maps, two convolutional layers (5~6), a RPN containing k²(C + 1) ROIs to detect position-sensitive score maps and make final results, as well a softmax layer to output classifications and localizations.