首页> 外国专利> DEEP LEARNING TAG-BASED FONT RECOGNITION UTILIZING FONT CLASSIFICATION

DEEP LEARNING TAG-BASED FONT RECOGNITION UTILIZING FONT CLASSIFICATION

机译:基于深度学习标签的字体识别利用字体分类

摘要

The present disclosure relates to a tag-based font recognition system that utilizes a multi-learning framework to develop and improve tag-based font recognition using deep learning neural networks. In particular, the tag-based font recognition system jointly trains a font tag recognition neural network with an implicit font classification attention model to generate font tag probability vectors that are enhanced by implicit font classification information. Indeed, the font recognition system weights the hidden layers of the font tag recognition neural network with implicit font information to improve the accuracy and predictability of the font tag recognition neural network, which results in improved retrieval of fonts in response to a font tag query. Accordingly, using the enhanced tag probability vectors, the tag-based font recognition system can accurately identify and recommend one or more fonts in response to a font tag query.
机译:本公开涉及基于标签的字体识别系统,其利用多学习框架来使用深学习神经网络开发和改进基于标签的字体识别。特别地,基于标签的字体识别系统共同列举字体标签识别神经网络,具有隐式字体分类注意模型来生成由隐式字体分类信息增强的字体标签概率向量。实际上,字体识别系统将字体标签识别神经网络的隐藏层具有隐式字体信息来提高字体标签识别神经网络的准确性和可预测性,这导致响应于字体标签查询而改进的字体检索。因此,使用增强型标签概率向量,基于标签的字体识别系统可以准确地识别并响应于字体标签查询推荐一个或多个字体。

著录项

  • 公开/公告号US2021103783A1

    专利类型

  • 公开/公告日2021-04-08

    原文格式PDF

  • 申请/专利权人 ADOBE INC.;

    申请/专利号US202017101778

  • 申请日2020-11-23

  • 分类号G06K9/68;G06F16/906;G06F16/903;G06F40/109;G06N3/08;G06K9/62;G06K9/46;

  • 国家 US

  • 入库时间 2022-08-24 17:23:58

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