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Updated: Feb 4, 2026

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基于多尺度注意力融合VM-UNet的麦害虫图像细分

Yunlong Zhang1, Yu Shao1, Ting Zhang2

  • 1Henan Agricultural Information Data Intelligent Engineering Research Center, SIAS University, Zhengzhou, China.

Frontiers in plant science
|February 2, 2026
PubMed
概括

一个新的多尺度注意力融合VM-UNet (MSAF-VMUNet) 通过整合视觉状态空间模型和U-Net.Net来改进水害虫图像细分 (PPIS). 这种方法可以在实时农业环境中提高害虫检测的准确性.

关键词:
这是一个VM-UNet.改善了注意力融合 (IAF).多级VSS (MSVSS) 是一个多级VSS.多层次的注意力融合VM-UNet (MSAF-VMUNet) 是一个麦田害虫图像细分 (PPIS) 的方法

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