A Comparative Study on the Maritime Object Detection Performance of Deep Learning Models
Sung Won Moon, Jiwon Lee, Jungsoo Lee, Do-Won Nam, Wonyoung Yoo · 2020
With the increasing volume of maritime traffic, the need for maritime surveillance is also increasing. In this situation, unlike the land environment where various data sets are built, the marine environment lacks data, so the progress of technology research is insufficient. Several object detection methods have been proposed and show excellent performance in areas where sufficient data is secured, but performance verification of existing techniques has not been performed on marine images. In this paper, we compare the performance of marine object detection in various marine images with the latest object detection methods and propose an object detection method suitable for marine environments.