Study on the Training Effectiveness of Deep Learning with Synthesized Underwater Sonar Image Using Pix2Pix and FCN
Eon-Ho Lee, Myung–Hwan Jeon, Hyesu Jang, Byungjae Park, Ayoung Kim, Sejin Lee · 2020
This research is a study to check whether the synthesized experimental data in the laboratory without experimentation is useful as experimental data. In the paper, synthesized data is generated base on the pix2pix algorithm. The training data used in the FCN checks the performance of the FCN by adjusting the ratio between the synthetic data and the experimental data obtained through the experiment. Various cases are used to confirm that synthesized data can be replaced with data obtained through actual experimentation.