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Autor:
Jung-min Noh, Yong-seop Kwon, Mang-gi Lee, Chang-hyung Park, Kyung-ho Kim, Min-gyu Kim, Gap-ho Seo
Publikováno v:
Korean Journal of Computational Design and Engineering. 26:451-460
Publikováno v:
2019 19th International Conference on Control, Automation and Systems (ICCAS).
This paper proposes a novel data augmentation method for enhancing the performance of deep-learning-based object detection in underwater environments. With deep-learning-based methods, system performance is highly dependent on the learning dataset. I