ViT-DualAtt: An efficient pornographic image classification method based on Vision Transformer with dual attention

ViT-DualAtt: An efficient pornographic image classification method based on Vision Transformer with dual attention

Pornographic images not only pollute the internet environment, but also potentially harm societal values and the mental health of young people. Therefore, accurately classifying and filtering pornographic images is crucial to maintaining the safety of the online community. In this paper, we propose...

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Bibliographic Details
Main Authors: Zengyu Cai, Liusen Xu, Jianwei Zhang, Yuan Feng, Liang Zhu, Fangmei Liu
Format: Article
Language:English
Published: AIMS Press 2024-12-01
Series:Electronic Research Archive
Subjects:
pornographic image classification
vision transformer
convolutional block attention module
multi-head attention
convolutional neural network
Online Access:https://www.aimspress.com/article/doi/10.3934/era.2024313
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