烟草科技2026，Vol.59Issue(2)：83-92,10.DOI:10.16135/j.issn1002-0861.2025.0736
基于改进频域通道注意力机制的卷烟条盒商标纸真伪鉴别方法
Authenticity identification for cigarette carton blanks based on improved frequency channel attention mechanism
摘要
Abstract
In order to improve the efficiency and accuracy of authenticity identification,an advanced method based on the improved frequency channel attention network(IFcaNet)for cigarette carton blanks was proposed.The method segments the image of cigarette cartons into three sub-images,and depth feature extraction of each sub-image was conducted by FcaNet.Through the self-attention module,effective interaction between the sub-image features was achieved,enhancing the expression ability of the carton features.Through max pooling and average pooling,the salient features and average features of the carton images were obtained,and the integration of the two types of data provided the model with more comprehensive image information.Finally,the concatenated vectors obtained from the max pooling and average pooling were inputted into a fully connected layer for binary classification.Experimental results showed that IFcaNet outperformed existing control models in terms of classification accuracy and model generalization ability,demonstrating its potential for authenticity identification of cigarettes.关键词
卷烟条盒/真伪鉴别/通道注意力机制/离散余弦变换/深度学习/计算机视觉Key words
Cigarette carton/Authenticity identification/Channel attention mechanism/Discrete cosine transform/Deep learning/Computer vision分类
轻工纺织引用本文复制引用
李晓辉,朱皓然,禹舰,陈浩,徐羽鹏,瑛琪,姚兰..基于改进频域通道注意力机制的卷烟条盒商标纸真伪鉴别方法[J].烟草科技,2026,59(2):83-92,10.基金项目
广西中烟工业有限责任公司科技计划项目"基于机器学习的卷烟产品质量多维智能辨识技术研究"(GXZYCX2021E016). （GXZYCX2021E016）
