Se-Swin Unet for Image Segmentation of Major Maize Foliar Diseases
Yujie Yang,
Congsheng Wang,
Qing Zhao
et al.
Abstract:Maize yields are important for human food security, and the issue of how to quickly and accurately segment areas of maize disease is an important one in the field of smart agriculture. To address the problem of irregular and multi-area clustering of regions of maize leaf lesions, which can lead to inaccurate segmentation, this paper proposes an improved Swin-Unet model called squeeze-and-excitation Swin-Unet (SE-Swin Unet). Our model applies Swin Transformer modules and skip connection structures for global an… Show more
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