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A single‐model multi‐task method for face recognition and face attribute recognition in internet of things and visual computing

  • Published:2022-09-02 Issue: Volume: Page:
  • ISSN:1751-9659
  • Container-title:IET Image Processing
  • language:en
  • Short-container-title:IET Image Processing

Author:

Lu Jin1,Wu Bo2ORCID

Affiliation:

1. Guangdong Key Laboratory of Big Data Intelligence for Vocational Education Shenzhen Polytechnic Shenzhen Guangdong China

2. Guangdong Key Laboratory of Big Data Intelligence for Vocational Education Shenzhen Pengcheng Technician College Shenzhen Guangdong China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference24 articles.

1. MCRD‐Net: An unsupervised dense network with multi‐scale convolutional block attention for multi‐focus image fusion;Zhou D.;IET Image Process,2022

2. A weighted multi‐source domain adaptation approach for surface defect detection

3. Infant brain segmentation based on a combination of VGG‐16 and U‐Net deep neural networks;Pasban S.;IET Image Process,2021

4. Schroff F. Kalenichenko D. Philbin J.:Facenet: A unified embedding for face recognition and clustering. In:Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition(2015)

5. Liu W. et al.:Sphereface: Deep hypersphere embedding for face recognition. In:Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition(2017)

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