Lightweight ship detection method based on YOLO-FNC model
ObjectiveA lightweight and efficient ship detection method based on the YOLO-FNC model is proposed for complex environments such as ports with dense traffic. MethodFirst, a FasterNeXt neural network module is designed on the basis of the FasterNet method and replaces the C3 module in the YOLO model...
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| Principais autores: | , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Editorial Office of Chinese Journal of Ship Research
2024-10-01
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| Serier: | Zhongguo Jianchuan Yanjiu |
| Fag: | |
| Online adgang: | http://www.ship-research.com/en/article/doi/10.19693/j.issn.1673-3185.03487 |
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