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To give a comprehensive comparison based on the analysis of the recognition performance of the proposed detector, we also further analyzed the complexity of the proposed and existing detectors. It is described in TABLE IV regarding the complexity of the proposed and existing detectors. Here, the running time is chosen to measure the complexity, and 500 images from the test dataset are randomly selected for testing. We can see from TABLE IV that the TFA-CNN detector has a shorter running time than the TFI-CNN detector. Although the running time of the LeNet and DNN detectors is slightly shorter than that of the TFA-CNN detector, their recognition accuracy is obviously poor. |
IEEE/ICACT20230135 Slide.15
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