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Updated: Feb 4, 2026

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
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将简化的Swin-T与修改的EFS-Net集成在一起,用于在复杂的水下环境中以注意为导向的水下管道细分

Niloufar Hosseini1, Farahnaz Mohanna2, Mohammad Kazem Moghimi1

  • 1Department of Communications Engineering, University of Sistan and Baluchestan, Zahedan, Iran.

Scientific reports
|February 2, 2026
PubMed
概括

一个新的混合深度学习模型,Swin变压器-EFSNet融合网络,在具有挑战性的条件下准确地分割水下管道. 它平衡了高精度和降低计算成本,改善了海上基础设施检查.

关键词:
在EFS-Net上使用EFS-Net.功能融合的特点是:多头交叉关注多头交叉关注旋转变压器 旋转变压器水下管道的细分 水下管道的细分

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