BAF-Net: Bidirectional attention fusion network via CNN and transformers for the pepper leaf segmentation

BAF-Net: Bidirectional attention fusion network via CNN and transformers for the pepper leaf segmentation

The segmentation of pepper leaves from pepper images is of great significance for the accurate control of pepper leaf diseases. To address the issue, we propose a bidirectional attention fusion network combing the convolution neural network (CNN) and Swin Transformer, called BAF-Net, to segment the...

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Bibliographic Details
Main Authors: Jiangxiong Fang, Houtao Jiang, Shiqing Zhang, Lin Sun, Xudong Hu, Jun Liu, Meng Gong, Huaxiang Liu, Youyao Fu
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-03-01
Series:Frontiers in Plant Science
Subjects:
convolution neural network
leaf segmentation
attention mechanism
multi-scale network
Swin Transformer
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2023.1123410/full

Internet

https://www.frontiersin.org/articles/10.3389/fpls.2023.1123410/full

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