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Yuhan Chen1, Qingfeng Li2, Dongxin Lu2
1Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
研究人员开发了一种最佳的水下图像增强复合骨干网络 (OECBNet),以提高图像质量和速度. 这种新方法超越了现有的基于卷积神经网络 (CNN) 的水下图像增强技术.
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