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
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页数：5
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