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2025年4月24日 6:24 星期四
首页 > 过刊浏览>2024年第33卷第4期 >226-234. DOI:10.15888/j.cnki.csa.009452
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基于多层次的海洋生物分类
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Multi-hierarchical Classification for Marine Organisms
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    摘要:

    本文提出了一种多层次海洋生物分类方法. 海洋生物种类繁多, 且同门类生物具有较强的类间相似性, 而不同门类生物具有较大的差异. 我们利用物种间的相似性, 帮助网络学习生物先验知识, 设计出了一种多层次分类方法. 设计了C-MBConv模块, 并结合多层次分类方法改进了EfficientNetV2网络架构, 改进后的网络架构称为CM-EfficientNetV2. 我们的实验表明CM-EfficientNetV2比原网络EfficientNetV2有着更高的准确率, 在南麂列岛潮间带海洋生物数据集上准确率提高了1.5%, 在CIFAR-100上准确率提高了2%.

    Abstract:

    This study proposes a multi-hierarchical classification method for marine organisms. Marine organisms are diverse, and organisms of the same phylum have strong inter-class similarity, while organisms of various phyla have large differences. Meanwhile, a multi-hierarchical classification method is designed by utilizing the similarity among species to help the network learn biological prior knowledge. Additionally, this study designs a C-MBConv module and improves the EfficientNetV2 network architecture by combining the multi-hierarchical classification method, and the improved network architecture is called CM-EfficientNetV2. The experiments show that CM-EfficientNetV2 has higher accuracy than the original network EfficientNetV2, with an accuracy improvement of 1.5% on the inter-tidal marine biology dataset of the Nanji Islands and 2% on CIFAR-100.

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赵东,程远志.基于多层次的海洋生物分类.计算机系统应用,2024,33(4):226-234

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  • 收稿日期:2023-10-08
  • 最后修改日期:2023-11-09
  • 在线发布日期: 2024-01-30
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