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Long-tail large scale face recognition by non-linear feature level domain adaptation

机译:非线性特征水平域自适应的长尾大规模人脸识别

摘要

A computer-implemented method, system, and computer program product are provided for facial recognition. The method includes receiving, by a processor device, a plurality of images. The method also includes extracting, by the processor device with a feature extractor utilizing a convolutional neural network (CNN) with an enlarged intra-class variance of long-tail classes, feature vectors for each of the plurality of images. The method additionally includes generating, by the processor device with a feature generator, discriminative feature vectors for each of the feature vectors. The method further includes classifying, by the processor device utilizing a fully connected classifier, an identity from the discriminative feature vector. The method also includes control an operation of a processor-based machine to react in accordance with the identity.
机译:提供了一种用于面部识别的计算机实现的方法,系统和计算机程序产品。该方法包括由处理器设备接收多个图像。该方法还包括由处理器设备利用特征提取器利用具有长尾类的扩大的类内变化的卷积神经网络(CNN)来提取多个图像中的每个图像的特征向量。该方法还包括由处理器设备利用特征生成器为每个特征矢量生成判别性特征矢量。该方法进一步包括通过处理器设备利用完全连接的分类器对来自鉴别特征向量的身份进行分类。该方法还包括控制基于处理器的机器的操作以根据身份做出反应。

著录项

  • 公开/公告号US10796134B2

    专利类型

  • 公开/公告日2020-10-06

    原文格式PDF

  • 申请/专利权人 NEC LABORATORIES AMERICA INC.;

    申请/专利号US201816145257

  • 申请日2018-09-28

  • 分类号G06K9;G06N3/08;G06K9/62;G06Q20/40;G06Q30/02;G08B13/196;G08B15;H04N7/18;

  • 国家 US

  • 入库时间 2022-08-21 11:28:03

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