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Mar, 2021
元学习鉴别性样本用于亲缘验证
Meta-Mining Discriminative Samples for Kinship Verification
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Wanhua Li, Shiwei Wang, Jiwen Lu, Jianjiang Feng, Jie Zhou
TL;DR
本文研究基因亲缘关系验证中存在的非平衡数据问题,提出了一种称为DSMM的方法,通过元学习的方式对非平衡数据中的重要样本进行挖掘和加权,从而提高了模型的验证效果。
Abstract
kinship verification
aims to find out whether there is a kin relation for a given pair of facial images.
kinship verification
databases are born with
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