Facial Age Estimation by Curriculum Learning

Wei Wang, Takaaki Ishikawa, Hiroshi Watanabe

研究成果: Conference contribution

抄録

Curriculum learning has been widely used in training neural networks because of its significant improvements in generalization capability. However, it has not been applied to age estimation tasks. In this paper, we incorporate curriculum learning into age estimation. Experimental result of the proposed method on AFAD database for age prediction shows a substantial reduction of the prediction error compared to the traditional training strategy.

本文言語English
ホスト出版物のタイトル2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020
出版社Institute of Electrical and Electronics Engineers Inc.
ページ138-139
ページ数2
ISBN(電子版)9781728198026
DOI
出版ステータスPublished - 2020 10 13
イベント9th IEEE Global Conference on Consumer Electronics, GCCE 2020 - Kobe, Japan
継続期間: 2020 10 132020 10 16

出版物シリーズ

名前2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020

Conference

Conference9th IEEE Global Conference on Consumer Electronics, GCCE 2020
CountryJapan
CityKobe
Period20/10/1320/10/16

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Media Technology
  • Instrumentation
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition

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