ResNet-50-NTS digital painting image style classification based on Three-Branch convolutional attention

ResNet-50-NTS digital painting image style classification based on Three-Branch convolutional attention

Addressing the difficulties and challenges faced by current traditional digital painting image style classification methods, the study enhances the residual neural network model by incorporating a three-branch convolutional attention mechanism. Furthermore, it integrates the improved residual neural...

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Bibliographic Details
Main Authors: Xiaohong Wang, Qian Ye, Lei Liu, Haitao Niu, Bangbang Du
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Egyptian Informatics Journal
Subjects:
ResNet-50
NTS
Attention mechanism
Digital painting images
Style classification
Fuzzy pooling
Online Access:http://www.sciencedirect.com/science/article/pii/S1110866525000076
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