Graph Neural Networks for Computer Vision

I was attracted by this image:

This is an inspiring image and it was posted in this article: Tutorial on Graph Neural Networks for Computer Vision and Beyond (Part 1) written by Boris, a PhD student at University of Guelph.
Link:
https://medium.com/@BorisAKnyazev/tutorial-on-graph-neural-networks-for-computer-vision-and-beyond-part-1-3d9fada3b80d

The figure I attached above is showing some possibilities that using the graph structure to represent the version components in a fuzzy way. That's innovative and interesting.

Graph Neural Networks for Computer Vision的更多相关文章

  1. 深度学习论文翻译解析(十七):MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

    论文标题:MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications 论文作者:Andrew ...

  2. [论文阅读] MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications (MobileNet)

    论文地址:MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications 本文提出的模型叫Mobi ...

  3. 3D Graph Neural Networks for RGBD Semantic Segmentation

    3D Graph Neural Networks for RGBD Semantic Segmentation 原文章:https://www.yuque.com/lart/papers/wmu47a ...

  4. 论文笔记——MobileNets(Efficient Convolutional Neural Networks for Mobile Vision Applications)

    论文地址:MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications MobileNet由Go ...

  5. 【论文翻译】MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

    MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications 论文链接:https://arxi ...

  6. [论文理解] MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

    MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Intro MobileNet 我 ...

  7. 《Graph Neural Networks: A Review of Methods and Applications》阅读笔记

    本文是对文献 <Graph Neural Networks: A Review of Methods and Applications> 的内容总结,详细内容请参照原文. 引言 大量的学习 ...

  8. 【论文阅读】Learning Dual Convolutional Neural Networks for Low-Level Vision

    论文阅读([CVPR2018]Jinshan Pan - Learning Dual Convolutional Neural Networks for Low-Level Vision) 本文针对低 ...

  9. 深度学习论文翻译解析(六):MobileNets:Efficient Convolutional Neural Networks for Mobile Vision Appliications

    论文标题:MobileNets:Efficient Convolutional Neural Networks for Mobile Vision Appliications 论文作者:Andrew ...

随机推荐

  1. 认识DOM(上)

    认识DOM 文档对象模型DOM(Document Object Model)定义访问和处理HTML文档的标准方法.DOM 将HTML文档呈现为带有元素.属性和文本的树结构(节点树). 先来看看下面代码 ...

  2. 项目开源-基于ASP.NET Core和EF Core的快速开发框架

    前言:作为一名95后的程序猿,已经写了一年多的代码了,为了提升自己的技术水平,所以决定尝试编写一个快速开发框架开源出来,一来提升自己的技术水平,二来助力.NET Core生态发展 写这个框架主要是为了 ...

  3. Delphi XE2 之 FireMonkey 入门(14) - 滤镜: 概览

    相关单元: FMX.Filter FMX.FilterCatBlur FMX.FilterCatGeometry FMX.FilterCatTransition FMX_FilterCatColor ...

  4. 阶段1 语言基础+高级_1-3-Java语言高级_02-继承与多态_第2节 抽象类_14-抽象的概念

    先来了解什么叫做抽象 父类有个计算面积的方法,但是不同的图形计算面积的方式是不一样的.所以这里的计算面积的方法就是个抽象的方法. 只有到具体的子类里面才能去实现具体的计算面积的方法 动物类是父类.有吃 ...

  5. #Week 11 - 343.Integer Break

    Week 11 - 343.Integer Break Given a positive integer n, break it into the sum of at least two positi ...

  6. .net refactor 命令行

    VS中设置项目的编译后事件命令(此命令会在程序集生成后自动在原位置加密,覆盖原来的程序集): "C:\Program Files (x86)\Eziriz\.NET Reactor\dotN ...

  7. git_02_git常用操作命令

    前言 Git是一个开源的分布式版本控制系统,可以有效.高速地处理从小到大的项目版本管理.编写自动化测试脚本的过程中,经常要用到git命令,但总是记不住,每次都要百度有些麻烦.于是为了方便使用,在这总结 ...

  8. js中ajax请求返回的数据处理成数组后,局部变量赋值给全局变量后,为空

    第二步是想把ss的值扔给res_r,两个数组直接相等即可,可谁想到,取出来的值是空. 如图取出来的值是空. 我一脸懵逼,调试了些许时间,最后把ss遍历一下,在重新push进res_r 再来看效果,已经 ...

  9. [Web 前端] 014 css 盒子模型

    1. 简介 元素在页面中显示成一个方块,类似一个盒子 把元素叫做盒子,设置对应的样式分别为 盒子的边框(border) 盒子内的内容和边框之间的间距(padding) 盒子与盒子之间的间距(margi ...

  10. JVM-堆内存

    1. java堆内存介绍 java的堆内存可以类比于计算机的内存,是存储整个机器数据的地方. (1)jvm一起动就创建java堆.类比计算机一起动就加载内存. (2)所有的线程共享.类比计算机所有进程 ...