Pseudo high-frequency boosts the generalization of a convolutional neural network for cassava disease detection

Pseudo high-frequency boosts the generalization of a convolutional neural network for cassava disease detection

Abstract Frequency is essential in signal transmission, especially in convolutional neural networks. It is vital to maintain the signal frequency in the neural network to maintain the performance of a convolutional neural network. Due to destructive signal transmission in convolutional neural networ...

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Bibliographic Details
Main Authors: Jiayu Zhang, Chao Qi, Peter Mecha, Yi Zuo, Zongyou Ben, Haolu Liu, Kunjie Chen
Format: Article
Language:English
Published: BMC 2022-12-01
Series:Plant Methods
Subjects:
Disease detection
Pseudo high-frequency
Multi-attention
Instance batch normalization
Fourier analysis
Online Access:https://doi.org/10.1186/s13007-022-00969-w

Internet

https://doi.org/10.1186/s13007-022-00969-w

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