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Updated: Jul 12, 2025

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基于轻量级YOLOv5n的深海生物检测方法

Zhongjun Ding1,2, Chen Liu1,2, Dewei Li1,2

  • 1National Deep Sea Center, Qingdao 266237, China.

Sensors (Basel, Switzerland)
|October 28, 2023
PubMed
概括

这项研究引入了一种轻量级YOLOv5n模型,用于增强深海生物检测. 该方法提高了图像质量和精度,使其能够在具有挑战性的水下环境中高效地部署.

关键词:
这就是YOLOv5n.深海生物检测深海生物检测图像增强 图像增强 图像增强知识的蒸知识的蒸.轻量级的轻量级的轻量级的轻量级的转移学习转移学习

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