首页> 外国专利> Compact language-free facial expression embedding and novel triplet training scheme

Compact language-free facial expression embedding and novel triplet training scheme

机译:紧凑的无语面部表情嵌入和新型三联培训计划

摘要

The present disclosure provides systems and methods that include or otherwise leverage use of a facial expression model that is configured to provide a facial expression embedding. In particular, the facial expression model can receive an input image that depicts a face and, in response, provide a facial expression embedding that encodes information descriptive of a facial expression made by the face depicted in the input image. As an example, the facial expression model can be or include a neural network such as a convolutional neural network. The present disclosure also provides a novel and unique triplet training scheme which does not rely upon designation of a particular image as an anchor or reference image.
机译:本公开提供了包括或以其他方式利用构造成提供面部表情嵌入的面部表情模型的系统和方法。 具体地,面部表情模型可以接收描绘面部的输入图像,并且响应地,提供一种面部表情嵌入,其编码描述由输入图像中所描绘的面部所描绘的面部表情的信息。 作为示例,面部表情模型可以是或包括诸如卷积神经网络的神经网络。 本公开还提供了一种新颖和独特的三态训练方案,其不依赖于将特定图像指定为锚或参考图像。

著录项

  • 公开/公告号US11163987B2

    专利类型

  • 公开/公告日2021-11-02

    原文格式PDF

  • 申请/专利权人 GOOGLE LLC;

    申请/专利号US202016743439

  • 发明设计人 RAVITEJA VEMULAPALLI;ASEEM AGARWALA;

    申请日2020-01-15

  • 分类号G06K9;G06N20;G06K9/46;G06K9/62;G06N3/04;

  • 国家 US

  • 入库时间 2022-08-24 22:01:54

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