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Pedestrian attribute classification with multi-scale and multi-label convolutional neural networks

Zhu Jianqing Zeng Huanqiang Zhang Yuzhao Zheng Lixin Cai Canhui

高技术通讯（英文版）2018，Vol.24Issue(1)：53-61,9.

高技术通讯（英文版）2018，Vol.24Issue(1)：53-61,9.DOI:10.3772/j.issn.1006-6748.2018.01.007

Pedestrian attribute classification with multi-scale and multi-label convolutional neural networks

Zhu Jianqing ¹Zeng Huanqiang ²Zhang Yuzhao ¹Zheng Lixin ¹Cai Canhui¹

作者信息

1. Fujian Academic Engineering Research Centre in Industrial Intellectual Techniques and Systems, College of Engineering,Huaqiao University,Quanzhou 362021,P.R.China
2. School of Information Science and Engineering,Huaqiao University,Xiamen 361021,P.R.China
折叠

摘要

关键词

pedestrian attribute classification/multi-scale features/multi-label classification/convolutional neural network(CNN)

Key words

pedestrian attribute classification/multi-scale features/multi-label classification/convolutional neural network(CNN)

引用本文复制引用

Zhu Jianqing,Zeng Huanqiang,Zhang Yuzhao,Zheng Lixin,Cai Canhui..Pedestrian attribute classification with multi-scale and multi-label convolutional neural networks[J].高技术通讯（英文版）,2018,24(1):53-61,9.

基金项目

Supported by the National Natural Science Foundation of China(No.61602191, 61672521, 61375037, 61473291, 61572501, 61572536, 61502491,61372107, 61401167), the Natural Science Foundation of Fujian Province(No.2016J01308), the Scientific and Technology Funds of Quanzhou(No.2015Z114), the Scientific and Technology Funds of Xiamen(No.3502Z20173045), the Promotion Program for Young and Middle aged Teacher in Science and Technology Research of Huaqiao University(No.ZQN-PY418,ZQN-YX403)and the Scientif-ic Research Funds of Huaqiao University(No.16BS108) （No.61602191, 61672521, 61375037, 61473291, 61572501, 61572536, 61502491,61372107, 61401167）

高技术通讯（英文版）

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ISSN：1006-6748

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