Apparel Classification Using Convolutional Neural Networks

被引：0

作者：

Eshwar, S. G. ^{[1
]}

Prabhu, Gautham Ganesh J. ^{[1
]}

Rishikesh, A. V. ^{[1
]}

Charan, N. A. ^{[1
]}

Umadevi, V ^{[1
]}

机构：

[1] BMS Coll Engn, Dept Comp Sci & Engn, Bengaluru, India

来源：

PROCEEDINGS OF 2016 INTERNATIONAL CONFERENCE ON ICT IN BUSINESS INDUSTRY & GOVERNMENT (ICTBIG) | 2016年

关键词：

ANN; CNN; Transfer Learning; ImageNet Inception model; Similarity measure; CLOTHING SEGMENTATION;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Apparel classification encompasses the identification of an outfit in an image. The area has its applications in social media advertising, e-commerce and criminal law. In our work, we introduce a new method for shopping apparels online. This paper describes our approach to classify images using Convolutional Neural Networks. We concentrate mainly on two aspects of apparel classification: (1) Multiclass classification of apparel type and (2) Similar Apparel retrieval based on the query image. This shopping technique relieves the burden of storing a lot of information related to the images and traditional ways of filtering search results can be replaced by image filters

引用

页数：5

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