SA-ConvNeXt: A Hybrid Approach for Flower Image Classification Using Selective Attention Mechanism

SA-ConvNeXt: A Hybrid Approach for Flower Image Classification Using Selective Attention Mechanism

In response to the current lack of annotations for flower images and insufficient focus on key image features in traditional fine-grained flower image classification based on deep learning, this study proposes the SA-ConvNeXt flower image classification model. Initially, in the image preprocessing s...

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Xehetasun bibliografikoak
Egile Nagusiak: Henghui Mo, Linjing Wei
Formatua: Artikulua
Hizkuntza:English
Argitaratua: MDPI AG 2024-07-01
Saila:Mathematics
Gaiak:
flower classification
image preprocessing
attention mechanism
transfer learning
Grad-CAM++
convolutional neural networks
Sarrera elektronikoa:https://www.mdpi.com/2227-7390/12/14/2151

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https://www.mdpi.com/2227-7390/12/14/2151

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