Enhancing Fruit Fly Detection in Complex Backgrounds Using Transformer Architecture with Step Attention Mechanism

Enhancing Fruit Fly Detection in Complex Backgrounds Using Transformer Architecture with Step Attention Mechanism

This study introduces a novel high-accuracy fruit fly detection model based on the Transformer structure, specifically aimed at addressing the unique challenges in fruit fly detection such as identification of small targets and accurate localization against complex backgrounds. By integrating a step...

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Bibliographic Details
Main Authors: Lexin Zhang, Kuiheng Chen, Liping Zheng, Xuwei Liao, Feiyu Lu, Yilun Li, Yuzhuo Cui, Yaze Wu, Yihong Song, Shuo Yan
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Agriculture
Subjects:
fruit fly detection
deep learning in plants
transformer architecture
step attention mechanism
cross-loss function
Online Access:https://www.mdpi.com/2077-0472/14/3/490

Internet

https://www.mdpi.com/2077-0472/14/3/490

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