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[期刊论文] 作者:GUO Da,ZHENG Qingfang,PENG Xia, 来源:中兴通讯技术:英文版 年份:2019
This paper proposes a universal framework,termed as Multi-Task Hybrid Convolutional Neural Network(MHCNN),for joint face detection,facial landmark detection,fac...
[期刊论文] 作者:GUO Da,ZHENG Qingfang,PENG Xiaojiang,LIU Ming, 来源:中兴通讯技术(英文版) 年份:2019
This paper proposes a universal framework, termed as Multi-Task Hybrid Convo-lutional Neural Network (MHCNN), for joint face detection, facial landmark detectio...
[期刊论文] 作者:GUO Da,ZHENG Qingfang,PENG Xiaojiang,LIU Ming,, 来源:ZTE Communications 年份:2019
This paper proposes a universal framework, termed as Multi-Task Hybrid Convolutional Neural Network(MHCNN), for joint face detection, facial landmark detection, facial quality, and facial attribute an...
[期刊论文] 作者:GUO Da ZHENG Qingfang PENG Xiaojiang LIU Ming, 来源:ZTE Communications 年份:2019
Abstract: This paper proposes a universal framework, termed as Multi?Task Hybrid Convolutional Neural Network (MHCNN), for joint face detection, facial landmark detection, facial quality, and facial a...
[期刊论文] 作者:CAO Jiahao,MAO Xiaofei,LI Dongfang,ZHENG Qingfang,JIA Xia, 来源:中兴通讯技术(英文版) 年份:2021
Person re-identification (Re-ID) has achieved great progress in recent years. However, person Re-ID methods are still suffering from body part missing and occlu...
[期刊论文] 作者:CAO Jiahao,MAO Xiaofei,LI Dongfang,ZHENG Qingfang,JIA Xia,, 来源:ZTE Communications 年份:2021
Person re-identification(Re-ID) has achieved great progress in recent years.However,person Re-ID methods are still suffering from body part missing and occlusion problems,which makes the learned repre...
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