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PARAMETER TRAINING METHOD FOR A CONVOLUTIONAL NEURAL NETWORK AND METHOD FOR DETECTING ITEMS OF INTEREST VISIBLE IN AN IMAGE

机译：卷积神经网络的参数训练方法及图像中可见兴趣项的检测方法

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摘要

The present invention relates to a parameter training method for a convolutional neural network, CNN, for detecting items of interest visible in images by data processing means (11a, 11b, 11c) of at least one server (1a, 1b, 1c), the method being characterized in that it is implemented based on a plurality of training image databases, wherein said items of interest are already annotated, the CNN being a CNN common to said plurality of training image databases and having a common core and a plurality of encoding layers, each one specific to one of said plurality of training image databases.;The present invention also relates to a method for detecting items of interest visible in an image.

机译：卷积神经网络的参数训练方法本发明涉及一种卷积神经网络的参数训练方法，用于通过数据处理装置（ 11 a，至少一台服务器（ 1 a）的11 b， 11 c ）， 1 b， 1 c ），该方法的特征在于，该方法基于多个训练图像数据库，其中所述感兴趣的项已经被注释，CNN是所述多个训练图像数据库所共有的CNN，并且具有公共核心和多个编码层，每个编码层特定于所述多个训练图像数据库。本发明还涉及一种用于检测图像中可见的感兴趣项目的方法。 展开▼

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公开/公告号US2020110970A1

专利类型

公开/公告日2020-04-09

原文格式PDF

申请/专利权人 IDEMIA IDENTITY & SECURITY FRANCE;
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申请/专利号US201916591018

发明设计人 CÉCILE JOURDAS;DORA CSILLAG;MAXIME THIEBAUT;
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申请日2019-10-02

分类号G06K9/62;G06N3/08;G06N3/04;

国家 US

入库时间 2022-08-21 11:19:09

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1. 人脸检测方法、卷积神经网络参数的训练方法、装置及介质 [P] . 中国专利： CN108038474B . 2020.04.14

2. 人脸检测方法、卷积神经网络参数的训练方法、装置及介质 [P] . 中国专利： CN108038474A . 2018-05-15

3. PARAMETER TRAINING METHOD FOR A CONVOLUTIONAL NEURAL NETWORK AND METHOD FOR DETECTING ITEMS OF INTEREST VISIBLE IN AN IMAGE AND FOR ASSOCIATING ITEMS OF INTEREST VISIBLE IN AN IMAGE [P] . 美国专利： US2020110926A1 . 2020-04-09

机译：卷积神经网络的参数训练方法，图像中兴趣可见项的检测以及图像中兴趣可见度的关联方法

4. Parameter training method for a convolutional neural network and method for detecting items of interest visible in an image [P] . US11138474B2 . 2021-10-05

机译：用于卷积神经网络的参数训练方法和检测图像中可见的感兴趣项目的方法

5. METHODS FOR LEARNING PARAMETERS OF A CONVOLUTIONAL NEURAL NETWORK, FOR DETECTING VISIBLE ELEMENTS OF INTEREST IN AN IMAGE AND ASSOCIATION OF ELEMENTS OF INTEREST VISIBLE IN AN IMAGE [P] . 欧洲知识产权局专利： EP3633545A1 . 2020-04-08

机译：学习卷积神经网络参数的方法，用于检测图像中的可见元素和图像中的可见元素关联

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