首页> 外国专利> Methods for training and testing obfuscation network capable of performing distinct concealing processes for distinct regions of original image and learning and testing devices using the same

Methods for training and testing obfuscation network capable of performing distinct concealing processes for distinct regions of original image and learning and testing devices using the same

机译:用于训练和测试混淆网络的方法,该网络能够对使用相同的原始图像和学习和测试设备的不同区域执行不同的隐藏过程

摘要

A method for training an obfuscation network capable of performing distinct concealing processes for distinct regions of an original image is provided. The method includes steps of: a learning device (a) inputting a training image into the obfuscation network to generate an obfuscated training image by performing a 1-st to an n-th concealing process respectively on a 1-st to an n-th training region of the training image; (b) inputting the obfuscated training image into a 1-st to an n-th discriminator to respectively generate a 1-st to an n-th obfuscated image score on determining whether the obfuscated training image is real or fake, and inputting the obfuscated training image into an image recognition network to apply learning operation on the obfuscated training image to generate feature information for training; and (c) training the obfuscation network such that an accumulated loss is maximized, and an accuracy loss is minimized.
机译:提供了一种用于训练能够执行原始图像的不同区域的不同隐藏过程的混淆网络的方法。该方法包括以下步骤:将训练图像输入到混淆网络中的学习设备(a),以通过分别在1-st到第n-t到第n个隐藏过程中通过执行1-st到第n个隐藏过程来生成混淆训练图像培训地区的培训地区; (b)将混淆的训练图像输入到第n个鉴别器中的1-st分别,以分别为第n-T s分别生成第n个混淆的图像分数,用于确定是否有混淆的训练图像是真实的或假的,并输入混淆训练图像进入图像识别网络,以在混淆的训练图像上应用学习操作,以生成培训的功能信息; (c)训练混淆网络,使得累积损耗最大化,并且精度损耗最小化。

著录项

  • 公开/公告号US11023777B1

    专利类型

  • 公开/公告日2021-06-01

    原文格式PDF

  • 申请/专利权人 DEEPING SOURCE INC.;

    申请/专利号US202017127811

  • 发明设计人 BON HUN KOO;

    申请日2020-12-18

  • 分类号G06K9/46;G06K9/62;G06T11;G06N20;

  • 国家 US

  • 入库时间 2022-08-24 19:03:39

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