{"title":"Kin-Verification Model on FIW Dataset Using Multi-Set Learning and Local Features","authors":"Eran Dahan, Y. Keller, Shahar Mahpod","doi":"10.1145/3134421.3134423","DOIUrl":null,"url":null,"abstract":"Kinship Verification of two or more people has shown to be a complicated problem, though it is widely used in various practical tasks and applications. The areas of the use-cases vary. Among them are applications for homeland security, automatic family recognition, youth and elder matching or predicting and more. We propose using Deep Learning approach to deal with the problem of Kin Verification, such to provide a logical explanation for solving the problem with a novel mechanism for training on the FIW data-set. Our method obtains state-of-the-art for the FIW challenge for the restricted-image setting11","PeriodicalId":209776,"journal":{"name":"Proceedings of the 2017 Workshop on Recognizing Families In the Wild","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2017-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2017 Workshop on Recognizing Families In the Wild","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3134421.3134423","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
Kinship Verification of two or more people has shown to be a complicated problem, though it is widely used in various practical tasks and applications. The areas of the use-cases vary. Among them are applications for homeland security, automatic family recognition, youth and elder matching or predicting and more. We propose using Deep Learning approach to deal with the problem of Kin Verification, such to provide a logical explanation for solving the problem with a novel mechanism for training on the FIW data-set. Our method obtains state-of-the-art for the FIW challenge for the restricted-image setting11
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