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chamfering    
倒角; 倒棱; 坡口加工

倒角; 倒棱; 坡口加工


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  • [1808. 00191] Graph R-CNN for Scene Graph Generation - arXiv. org
    We propose a novel scene graph generation model called Graph R-CNN, that is both effective and efficient at detecting objects and their relations in images Our model contains a Relation Proposal
  • Graph R-CNN for Scene Graph Generation论文解读 - 简书
    具体来说，本工作通过引入一种新的模型(graph R-CNN)来解决场景图生成问题，该模型可以利用对象关系的规律性，并提出了一种更全面的场景图生成评价指标(SGGen+)。
  • 读书笔记24：Graph R-CNN for Scene Graph Generation . . .
    本文摘要没有介绍背景及他人方法，而是开门见山，指出本文提出了一个新的scene generation model，叫做graph R-CNN。 接着介绍这个模型的特点是能够既能高效的检测到图片中的物体，又能有效的抓取物体之间的关系。
  • Graph R-CNN for Scene Graph Generation解读 - 知乎
    本文提出的三个主要的创新点就是： 1． Relation Proposal Network（RePN）用来做关系过滤 2． Attentional Graph Convolutional Network 用来做 信息融合 3． 提出了一个新指标SGGen+，比原来的SGGen更科学 然后集合这些东西，本文的方法是目前最佳 本文的大致研究结构和主流操作一致，如下： 基本的想法还是按照先找点，再找边，再找点和边的label。 找点采用常见的 faster-rcnn，这也是大多数工作的做法。 这里的关系配对，作者采用物体分类概率作为主要的计算依据。
  • Graph R-CNN for Scene Graph Generation - CVF Open Access
    In this work, we propose a new framework, Graph R-CNN, for scene graph generation which e・ ectively leverages object-relationship regulari- ties through two mechanisms to intelligently sparsify and reason over candidate scene graphs
  • Graph R-CNN for Scene Graph Generation | SpringerLink
    In this work, we propose a new framework, Graph R-CNN, for scene graph generation which effectively leverages object-relationship regularities through two mechanisms to intelligently sparsify and reason over candidate scene graphs
  • Graph R-CNN for Scene Graph Generation | Computer Vision – ECCV 2018
    Our model contains a Relation Proposal Network (RePN) that efficiently deals with the quadratic number of potential relations between objects in an image We also propose an attentional Graph Convolutional Network (aGCN) that effectively captures contextual information between objects and relations
  • GitHub - jwyang graph-rcnn. pytorch: [ECCV 2018] Official code for . . .
    This project is a set of reimplemented representative scene graph generation models based on Pytorch 1 0, including: Graph R-CNN for Scene Graph Generation , our own ECCV 2018
  • 场景图生成论文阅读笔记 之 Graph R-CNN for Scene Graph . . .
    《Graph R-CNN for Scene Graph Generation》 比较早使用图网络进行场景图生成的论文，对后续工作具有一定的启发性，在这做一记录
  • [1808. 00191] Graph R-CNN for Scene Graph Generation
    In this work, we propose a new framework, Graph R-CNN, for scene graph generation which effectively leverages object-relationship regularities through two mechanisms to intelligently sparsify and reason over candidate scene graphs





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