EnCaps: Clothing Image Classification Based on Enhanced Capsule Network

Clothing image classification is more and more important in the development of online clothing shopping. The clothing category marking, clothing commodity retrieval, and similar clothing recommendations are the popular applications in current clothing shopping, which are based on the technology of a...

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Autores principales:	Feng Yu, Chenghu Du, Ailing Hua, Minghua Jiang, Xiong Wei, Tao Peng, Xinrong Hu
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	clothing image classification enhanced capsule network spatial structure feature attention mechanism inception mechanism Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/f4ea74df409c4a6cbf397beb024f7a90
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spelling	oai:doaj.org-article:f4ea74df409c4a6cbf397beb024f7a902021-11-25T16:43:01ZEnCaps: Clothing Image Classification Based on Enhanced Capsule Network10.3390/app1122110242076-3417https://doaj.org/article/f4ea74df409c4a6cbf397beb024f7a902021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/22/11024https://doaj.org/toc/2076-3417Clothing image classification is more and more important in the development of online clothing shopping. The clothing category marking, clothing commodity retrieval, and similar clothing recommendations are the popular applications in current clothing shopping, which are based on the technology of accurate clothing image classification. Wide varieties and various styles of clothing lead to great difficulty for the accurate clothing image classification. The traditional neural network can not obtain the spatial structure information of clothing images, which leads to poor classification accuracy. In order to reach the high accuracy, the enhanced capsule (EnCaps) network is proposed with the image feature and spatial structure feature. First, the spatial structure extraction model is proposed to obtain the clothing structure feature based on the EnCaps network. Second, the enhanced feature extraction model is proposed to extract more robust clothing features based on deeper network structure and attention mechanism. Third, parameter optimization is used to reduce the computation in the proposed network based on inception mechanism. Experimental results indicate that the proposed EnCaps network achieves high performance in terms of classification accuracy and computational efficiency.Feng YuChenghu DuAiling HuaMinghua JiangXiong WeiTao PengXinrong HuMDPI AGarticleclothing image classificationenhanced capsule networkspatial structure featureattention mechanisminception mechanismTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 11024, p 11024 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	clothing image classification enhanced capsule network spatial structure feature attention mechanism inception mechanism Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	clothing image classification enhanced capsule network spatial structure feature attention mechanism inception mechanism Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Feng Yu Chenghu Du Ailing Hua Minghua Jiang Xiong Wei Tao Peng Xinrong Hu EnCaps: Clothing Image Classification Based on Enhanced Capsule Network
description	Clothing image classification is more and more important in the development of online clothing shopping. The clothing category marking, clothing commodity retrieval, and similar clothing recommendations are the popular applications in current clothing shopping, which are based on the technology of accurate clothing image classification. Wide varieties and various styles of clothing lead to great difficulty for the accurate clothing image classification. The traditional neural network can not obtain the spatial structure information of clothing images, which leads to poor classification accuracy. In order to reach the high accuracy, the enhanced capsule (EnCaps) network is proposed with the image feature and spatial structure feature. First, the spatial structure extraction model is proposed to obtain the clothing structure feature based on the EnCaps network. Second, the enhanced feature extraction model is proposed to extract more robust clothing features based on deeper network structure and attention mechanism. Third, parameter optimization is used to reduce the computation in the proposed network based on inception mechanism. Experimental results indicate that the proposed EnCaps network achieves high performance in terms of classification accuracy and computational efficiency.
format	article
author	Feng Yu Chenghu Du Ailing Hua Minghua Jiang Xiong Wei Tao Peng Xinrong Hu
author_facet	Feng Yu Chenghu Du Ailing Hua Minghua Jiang Xiong Wei Tao Peng Xinrong Hu
author_sort	Feng Yu
title	EnCaps: Clothing Image Classification Based on Enhanced Capsule Network
title_short	EnCaps: Clothing Image Classification Based on Enhanced Capsule Network
title_full	EnCaps: Clothing Image Classification Based on Enhanced Capsule Network
title_fullStr	EnCaps: Clothing Image Classification Based on Enhanced Capsule Network
title_full_unstemmed	EnCaps: Clothing Image Classification Based on Enhanced Capsule Network
title_sort	encaps: clothing image classification based on enhanced capsule network
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/f4ea74df409c4a6cbf397beb024f7a90
work_keys_str_mv	AT fengyu encapsclothingimageclassificationbasedonenhancedcapsulenetwork AT chenghudu encapsclothingimageclassificationbasedonenhancedcapsulenetwork AT ailinghua encapsclothingimageclassificationbasedonenhancedcapsulenetwork AT minghuajiang encapsclothingimageclassificationbasedonenhancedcapsulenetwork AT xiongwei encapsclothingimageclassificationbasedonenhancedcapsulenetwork AT taopeng encapsclothingimageclassificationbasedonenhancedcapsulenetwork AT xinronghu encapsclothingimageclassificationbasedonenhancedcapsulenetwork
_version_	1718413053635067904

EnCaps: Clothing Image Classification Based on Enhanced Capsule Network

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