Food Image Classification Based on CBAM-Inception V3 Transfer Learning

Food Image Classification Based on CBAM-Inception V3 Transfer Learning

To improve the accuracy of automatic recognition and classification of food images, a classification model CBAM- InceptionV3 is proposed, which embeds the Convolutional Block Attention Module. The specific method is to split the Inception V3 model with ImageNet pre-trained weight parameters into blo...

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Bibliographic Details
Main Authors: DU Hui-jiang, CUI Xiao-yi, WANG Yi-meng, SUN Li-ping
Format: Article
Language:English
Published: Academy of National Food and Strategic Reserves Administration 2024-01-01
Series:Liang you shipin ke-ji
Subjects:
food image classification
channel attention; spatial attention
cbam
inceptionv3
transfer learning
Online Access:http://lyspkj.ijournal.cn/lyspkj/article/abstract/20240113

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