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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.
