Fine-Grained Classification of Product Images Based on Convolutional Neural Networks

Journals Menu

Follow SCIRP

ISSN Print: 2161-6728
ISSN Online: 2161-6752
www.scirp.org/journal/ami
E-mail: ami@scirp.org

"Fine-Grained Classification of Product Images Based on Convolutional Neural Networks"
written by Tongtong Liu, Rubing Wang, Jikang Chen, Shengliang Han, Jimin Yang,
published by Advances in Molecular Imaging, Vol.8 No.4, 2018

has been cited by the following article(s):

[1]	High-Accuracy Clothing and Style Classification via Multi-Feature Fusion
	Applied Sciences, 2022

[2]	Target detection based on deep learning
	Journal of Physics: Conference Series, 2022

[3]	A mixed faster R-CNN and positioning coordinates method for recognition of suit button arrangement with small sample sizes
	International Journal of …, 2022

[4]	Product Classification in E-Commerce Sites
	2021

[5]	On augmenting database schemas by latent visual attributes
	2021

[6]	iAMP-CA2L: a new CNN-BiLSTM-SVM classifier based on cellular automata image for identifying antimicrobial peptides and their functional types
	2021

[7]	基于卷积神经网络和简单循环单元集成模型的风电场内多风机风速预测
	2020

[1]	A mixed faster R-CNN and positioning coordinates method for recognition of suit button arrangement with small sample sizes International Journal of Clothing Science and Technology, 2022 DOI:10.1108/IJCST-10-2020-0165

[2]	High-Accuracy Clothing and Style Classification via Multi-Feature Fusion Applied Sciences, 2022 DOI:10.3390/app121910062

[3]	Progress in Advanced Computing and Intelligent Engineering Advances in Intelligent Systems and Computing, 2021 DOI:10.1007/978-981-33-4299-6_40

[4]	On augmenting database schemas by latent visual attributes Knowledge and Information Systems, 2021 DOI:10.1007/s10115-021-01595-z

[5]	iAMP-CA2L: a new CNN-BiLSTM-SVM classifier based on cellular automata image for identifying antimicrobial peptides and their functional types Briefings in Bioinformatics, 2021 DOI:10.1093/bib/bbab209

Follow SCIRP