{"title":"Gender-inspired Facial Age Recognition based on Reflexivity, Antisymmetry and Transitivity","authors":"Ebenezer Nii Ayi Hammond, Kwadwo Kusi","doi":"10.1109/ICMRSISIIT46373.2020.9405924","DOIUrl":null,"url":null,"abstract":"We propose an age recognition method that compares a pair of image instances from the same gender for the three conditions of reflexivity, antisymmetry, and transitivity corresponding to older, similar, and younger than respectively. The approach uses a small number of reference set to address performance issues due to the lack of datasets for age recognition. Experimental results demonstrate that the use of a few optimally selected class references for the comparison resulted in a dramatic improvement on the baseline. Thus, with a Mean Absolute Error (MAE) of 4.07 and Cumulative score (CS) of 93.87% on the adience dataset, our proposal shows superiority among other gender-inspired age recognition proposals.","PeriodicalId":64877,"journal":{"name":"遥感信息","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"遥感信息","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.1109/ICMRSISIIT46373.2020.9405924","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
We propose an age recognition method that compares a pair of image instances from the same gender for the three conditions of reflexivity, antisymmetry, and transitivity corresponding to older, similar, and younger than respectively. The approach uses a small number of reference set to address performance issues due to the lack of datasets for age recognition. Experimental results demonstrate that the use of a few optimally selected class references for the comparison resulted in a dramatic improvement on the baseline. Thus, with a Mean Absolute Error (MAE) of 4.07 and Cumulative score (CS) of 93.87% on the adience dataset, our proposal shows superiority among other gender-inspired age recognition proposals.
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