Research on the Technology of Searching for Fashion Trend Image Based on ResNet50 Model

被引：2

作者：

Tian, Yujing ^{[1
]}

Zheng, ZeYu ^{[2
]}

Li, Ge ^{[2
]}

Xu, Chengrui ^{[1
]}

Shang, WenXiang ^{[2
]}

Liu, Xiaogang ^{[1
]}

机构：

[1] Donghua Univ, Fash & Design Coll, 1882 West Yanan Rd, Shanghai, Peoples R China

[2] Hangzhou Zhiyi Technol Co Ltd, Room 1201,Block F, Hangzhou, Peoples R China

来源：

4TH INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE APPLICATIONS AND TECHNOLOGIES (AIAAT 2020) | 2020年 / 1642卷

基金：

中央高校基本科研业务费专项资金资助;

关键词：

D O I：

10.1088/1742-6596/1642/1/012011

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

With the further development of technology, providing technical support for the forecast and development of fashion design trends through artificial intelligence has gradually become a reality. In order to enable users to obtain more accurate design trend materials in a shorter time, this paper presents a 'searching by image' model of clothing trends based on the ResNet50 model. Through the targeted collection of data and the rational construction of algorithms, the system can retrieve and output more image materials with relevant design features for the existing image materials for the development of design trends as well as the development and design of styles. By comparing the system with Google's and Taobao's `searching by image' system, it is concluded that this system has high efficiency, high accuracy and high correlation.

引用

页数：8

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