MetaAge : Meta-Learning Personalized Age Estimators

Different people age in different ways. Learning a personalized age estimator for each person is a promising direction for age estimation given that it better models the personalization of aging processes. However, most existing personalized methods suffer from the lack of large-scale datasets due t...

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Publié dans:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 31(2022) vom: 01., Seite 4761-4775
Auteur principal: Li, Wanhua (Auteur)
Autres auteurs: Lu, Jiwen, Wuerkaixi, Abudukelimu, Feng, Jianjiang, Zhou, Jie
Format: Article en ligne
Langue:English
Publié: 2022
Accès à la collection:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sujets:Journal Article