Clothing Classification Using Deep CNN Architecture Based on Transfer Learning
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-49336-3_24
Reference26 articles.
1. Yamaguchi, K., Berg, T.L., Ortiz, L.E.: Chic or social: visual popularity analysis in online fashion networks. In: ACM Conference on Multimedia, pp. 773–776 (2014)
2. Yamaguchi, K., Kiapour, M.H., Ortiz, L.E., Berg, T.L.: Parsing clothing in fashion photographs. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 3570–3577 (2012)
3. Yamaguchi, K., Kiapour, M.H., Berg, T.L.: Paper doll parsing: retrieving similar styles to parse clothing items. In: International Conference on Computer Vision, pp. 3519–3526 (2013)
4. Kalantidis, Y., Kennedy, L., Li, L.J.: Getting the look: clothing recognition and segmentation for automatic product suggestions in everyday photos. In: ACM International Conference in Multimedia Retrieval, pp. 105–112 (2013)
5. Liu, S., Feng, J., Domokos, C., Xu, H., Huang, J., Hu, Z., Yan, S.: Fashion parsing with weak color-category labels. IEEE Trans. Multimedia 16(1), 253–265 (2014)
Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Enhanced content-based fashion recommendation system through deep ensemble classifier with transfer learning;Fashion and Textiles;2024-07-01
2. Fine-Tuned CNN for Clothing Image Classification on Mobile Edge Computing;Lecture Notes on Data Engineering and Communications Technologies;2024
3. Student Activity Recognition in Classroom Environments Using Transfer Learning;2023 International Conference on Computational Intelligence, Networks and Security (ICCINS);2023-12-22
4. Smart Fashion Recommendation System using FashionNet;ICST Transactions on Scalable Information Systems;2023-10-30
5. Improving Clothing Product Quality and Reducing Waste Based on Consumer Review Using RoBERTa and BERTopic Language Model;Big Data and Cognitive Computing;2023-10-25
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3