首页> 外国专利> A CONVOLUTIONAL NEURAL NETWORK (CNN) SYSTEM BASED ON RESOLUTION-LIMITED SMALL-SCALE CNN MODULES

A CONVOLUTIONAL NEURAL NETWORK (CNN) SYSTEM BASED ON RESOLUTION-LIMITED SMALL-SCALE CNN MODULES

机译:基于分辨率有限的CNN模块的卷积神经网络(CNN)系统

摘要

Embodiments of a convolutional neutral network (CNN) system based on usingresolution-limited small-scale CNN modules are disclosed. In some embodiments,a CNNsystem includes: a receiving module for receiving an input image of a firstimage size, thereceiving module can be used to partition the input image into a set ofsubimages of a secondimage size; a first processing stage that includes a first hardware CNN moduleconfiguredwith a maximum input image size, the first hardware CNN module is configuredtosequentially receive the set of subimages and sequentially process thereceived subimages togenerate a set of outputs; a merging module for merging the sets of outputsinto a set ofmerged feature maps; and a second processing stage for receiving the set offeature maps andprocessing the set of feature maps to generate an output including at leastone prediction onthe input image.
机译:基于使用的卷积神经网络(CNN)系统的实施例公开了分辨率受限的小型CNN模块。在某些实施例中,CNN该系统包括:接收模块,用于接收第一输入图像图像尺寸接收模块可用于将输入图像划分为一组一秒钟的子图像图片尺寸;包括第一硬件CNN模块的第一处理阶段已配置在最大输入图像大小的情况下,配置了第一个硬件CNN模块至顺序接收子图像集并顺序处理接收到的子图像产生一组输出;用于合并输出集的合并模块进入一组合并的特征图;第二个处理阶段,用于接收功能图和处理特征图集以生成至少包括一种预测输入图像。

著录项

  • 公开/公告号CA2986863A1

    专利类型

  • 公开/公告日2018-05-30

    原文格式PDF

  • 申请/专利权人 ALTUMVIEW SYSTEMS INC.;

    申请/专利号CA20172986863

  • 发明设计人 WANG XING;NG HIM WAI;LIANG JIE;

    申请日2017-11-28

  • 分类号G06N3/04;

  • 国家 CA

  • 入库时间 2022-08-21 12:47:49

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