图像多标签分类综述
Journal: Advances in Computer and Autonomous Intelligence Research DOI: 10.12238/acair.v2i2.7344
Abstract
多标签图像分类是计算机视觉领域的重要研究方向,它的目标是对同时包含多个对象的图像进行分类,并准确识别出各个类别。以往在对图像进行分类时,通常选取单个对象作为其标签,但考虑到现实生活中一张图像往往存在多个对象,多标签图像分类也越来越受到关注。因此对传统机器学习以及深度学习中的多标签图像分类方法进行研究分析。同时对多标签图像未来要进行的工作进行展望,希望对多标签图像分类问题的发展与进步起到一定推进作用。
Keywords
多标签图像分类;机器学习;深度学习
Funding
新疆大学国家级大学生创新创业训练计划资助,项目编号:202210755094。
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[1] Borgwardt KM,Kriegel HP,Vishwanathan SVN, Schraudolph NN.Graph kernels for disease outcome prediction from protein -protein interaction networks. Pacific Symposium on Biocomp uting,2007:4-15.
[2] Fout AM. Protein interface prediction using graph con volutional networks[MS. Thesis]. Colorado:ColoradoStateUnive rsity,2017.6530-6539.
[3] Tenindra Abeywickrama,Muhammad Aamir Cheema,and Da vid Taniar.2016.K-nearest neighbors on road networks:a jour ney in experimentation and in-memory implementation.Proc. VLDB Endow.9,6(January 2016),492–503.https://doi.org/10.147 78/2904121.2904125.
[4] 李峰,苗夺谦,张志飞,等.基于互信息的粒化特征加权多标签学习k近邻算法[J].计算机研究与发展,2017,54(05):1024-1035.
[5] 钱龙,赵静,韩京宇,等.基于标签相关性的K近邻多标签学习[J].计算机工程,2022,48(06):73-78+88.
[6] 孙浩荣.基于SVM的食物图像分类算法的研究[D].西安电子科技大学,2016.
[7] 杨朋波,桑基韬,张彪.面向图像分类的深度模型可解释性研究综述[J].软件学报,2023,34(01):230-254.
[8] 张思青.面向细粒度图像分类的知识蒸馏方法研究[D].北京邮电大学,2022.
[9] 李爱萍.基于CNN的多示例多标签图像分类[D].西北大学,2021.
[10] Tan,M.,& Le,Q.V.(2019).EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks.ArXiv,abs/1905. 11946.
[11] Zhong J, Xuan Z, Wang K, Cheng Z.A BERT-Span model for Chinese named entity recognition in rehabilitation medi cine.PeerJ Comput Sci.2023 Aug21;9:e1535
[12] Dosovitskiy A, Beyer L, Kolesnikov A, et al. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale[J].2020.
[13] 曹艳秋.面向车载视频的多标签分类方法研究[D].南京师范大学,2021.
[14] 魏琦.基于知识图谱的医疗图像多标签分类及未知疾病检测[D].云南大学,2022.
[2] Fout AM. Protein interface prediction using graph con volutional networks[MS. Thesis]. Colorado:ColoradoStateUnive rsity,2017.6530-6539.
[3] Tenindra Abeywickrama,Muhammad Aamir Cheema,and Da vid Taniar.2016.K-nearest neighbors on road networks:a jour ney in experimentation and in-memory implementation.Proc. VLDB Endow.9,6(January 2016),492–503.https://doi.org/10.147 78/2904121.2904125.
[4] 李峰,苗夺谦,张志飞,等.基于互信息的粒化特征加权多标签学习k近邻算法[J].计算机研究与发展,2017,54(05):1024-1035.
[5] 钱龙,赵静,韩京宇,等.基于标签相关性的K近邻多标签学习[J].计算机工程,2022,48(06):73-78+88.
[6] 孙浩荣.基于SVM的食物图像分类算法的研究[D].西安电子科技大学,2016.
[7] 杨朋波,桑基韬,张彪.面向图像分类的深度模型可解释性研究综述[J].软件学报,2023,34(01):230-254.
[8] 张思青.面向细粒度图像分类的知识蒸馏方法研究[D].北京邮电大学,2022.
[9] 李爱萍.基于CNN的多示例多标签图像分类[D].西北大学,2021.
[10] Tan,M.,& Le,Q.V.(2019).EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks.ArXiv,abs/1905. 11946.
[11] Zhong J, Xuan Z, Wang K, Cheng Z.A BERT-Span model for Chinese named entity recognition in rehabilitation medi cine.PeerJ Comput Sci.2023 Aug21;9:e1535
[12] Dosovitskiy A, Beyer L, Kolesnikov A, et al. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale[J].2020.
[13] 曹艳秋.面向车载视频的多标签分类方法研究[D].南京师范大学,2021.
[14] 魏琦.基于知识图谱的医疗图像多标签分类及未知疾病检测[D].云南大学,2022.
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