BriefGPT.xyz
Mar, 2019
利用图卷积网络的基于连锁的人脸聚类
Linkage Based Face Clustering via Graph Convolution Network
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Zhongdao Wang, Liang Zheng, Yali Li, Shengjin Wang
TL;DR
本文提出了一种精确可扩展的面部聚类方法,将任务表述为链接预测问题,并构建子图进行推理。实验表明,该方法对于面部复杂分布更为稳健,可扩展到大数据集,并且不需要先验聚类数量,能够检测噪音和异常值,并且可扩展到多视角版本以获得更准确的聚类精度。
Abstract
In this paper, we present an accurate and scalable approach to the
face clustering
task. We aim at grouping a set of faces by their potential identities. We formulate this task as a
link prediction
problem: a lin
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