Transformer Help CNN See Better: A Lightweight Hybrid Apple Disease Identification Model Based on Transformers

Transformer Help CNN See Better: A Lightweight Hybrid Apple Disease Identification Model Based on Transformers

The complex backgrounds of crop disease images and the small contrast between the disease area and the background can easily cause confusion, which seriously affects the robustness and accuracy of apple disease- identification models. To solve the above problems, this paper proposes a Vision Transfo...

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Bibliographic Details
Main Authors: Xiaopeng Li, Shuqin Li
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Agriculture
Subjects:
identification of apple diseases
image classification
lightweight model
Vision Transformer
hybrid model
complex environments
Online Access:https://www.mdpi.com/2077-0472/12/6/884

Internet

https://www.mdpi.com/2077-0472/12/6/884

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