Frequency-Enhanced Channel-Spatial Attention Module for Grain Pests Classification
For grain storage and protection, grain pest species recognition and population density estimation are of great significance. With the rapid development of deep learning technology, many studies have shown that convolutional neural networks (CNN)-based methods perform extremely well in image classif...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
MDPI AG
2022-11-01
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| Series: | Agriculture |
| Assuntos: | |
| Acceso en liña: | https://www.mdpi.com/2077-0472/12/12/2046 |
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