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- W2979766745 abstract "YOLOv3 is the state of art detector, which performs an excellent balance in detection speed and accuracy. In this paper, an improved YOLOv3 model named YOLOv3-ship is proposed for the ship detection. The main contributions to the YOLOv3-ship consists of dimension Clusters, network Improvement and embedding of the Squeeze-and-Excitation(SE) module. The experiments results show that the detection accuracy has been significantly improved by the YOLOv3-ship." @default.
- W2979766745 created "2019-10-18" @default.
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- W2979766745 date "2019-06-01" @default.
- W2979766745 modified "2023-10-06" @default.
- W2979766745 title "Ship Detection: An Improved YOLOv3 Method" @default.
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- W2979766745 doi "https://doi.org/10.1109/oceanse.2019.8867209" @default.
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