随笔分类 -  Graph CNN

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Fine-grained Video-Text Retrieval with Hierarchical Graph Reasoning
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posted @ 2020-03-03 11:46 AHU-WangXiao 阅读(0) 评论(0) 推荐(0) 编辑
Relation-Aware Graph Attention Network for Visual Question Answering
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posted @ 2019-10-27 07:16 AHU-WangXiao 阅读(1) 评论(0) 推荐(0) 编辑
Emotion Recognition Using Graph Convolutional Networks
摘要：Emotion Recognition Using Graph Convolutional Networks 2019-10-22 09:26:56 This blog is from: https://towardsdatascience.com/emotion-recognition-using 阅读全文
posted @ 2019-10-22 06:28 AHU-WangXiao 阅读(465) 评论(0) 推荐(0) 编辑
Graph Convolutional Networks for Temporal Action Localization
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posted @ 2019-10-08 17:56 AHU-WangXiao 阅读(0) 评论(0) 推荐(0) 编辑
Graph Neural Based End-to-end Data Association Framework for Online Multiple-Object Tracking
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posted @ 2019-07-13 13:00 AHU-WangXiao 阅读(11) 评论(0) 推荐(0) 编辑
Learning Conditioned Graph Structures for Interpretable Visual Question Answering
摘要：Learning Conditioned Graph Structures for Interpretable Visual Question Answering 2019-05-29 00:29:43 Paper：http://papers.nips.cc/paper/8054-learning- 阅读全文
posted @ 2019-05-29 00:32 AHU-WangXiao 阅读(763) 评论(0) 推荐(0) 编辑
（转）Extracting knowledge from knowledge graphs using Facebook Pytorch BigGraph.
摘要：Extracting knowledge from knowledge graphs using Facebook Pytorch BigGraph 2019-04-27 09:33:58 This blog is copied from: https://towardsdatascience.co 阅读全文
posted @ 2019-04-27 09:36 AHU-WangXiao 阅读(378) 评论(0) 推荐(0) 编辑
论文笔记：Visual Semantic Navigation Using Scene Priors
摘要：Visual Semantic Navigation Using Scene Priors 2018-10-21 19:39:26 Paper: https://arxiv.org/pdf/1810.06543.pdf Demo：https://www.youtube.com/watch?v=otK 阅读全文
posted @ 2018-10-21 19:43 AHU-WangXiao 阅读(1058) 评论(0) 推荐(0) 编辑
论文笔记：Relational inductive biases, deep learning, and graph networks
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posted @ 2018-10-08 14:20 AHU-WangXiao 阅读(8) 评论(0) 推荐(0) 编辑
论文笔记：Exploring Visual Relationship for Image Captioning
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posted @ 2018-09-23 21:53 AHU-WangXiao 阅读(3) 评论(0) 推荐(0) 编辑
论文阅读：Videos as Space-Time Region Graphs
摘要：Videos as Space-Time Region Graphs ECCV 2018 Xiaolong Wang 2018-08-03 11:16:01 Paper：arXiv 本文利用视频中时空上的 proposal 之间的关系，来进行行为识别的建模。 如上图所示，本文将 video 看做是 阅读全文
posted @ 2018-08-03 11:18 AHU-WangXiao 阅读(3392) 评论(0) 推荐(0) 编辑
论文笔记：Person Re-identification with Deep Similarity-Guided Graph Neural Network
摘要：Person Re-identification with Deep Similarity-Guided Graph Neural Network 2018-07-27 17:41:45 Paper： https://128.84.21.199/pdf/1807.09975.pdf 本文将 Grap 阅读全文
posted @ 2018-07-27 17:44 AHU-WangXiao 阅读(1280) 评论(0) 推荐(1) 编辑
论文笔记：3D Graph Neural Networks for RGBD Semantic Segmentation
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posted @ 2018-04-13 19:21 AHU-WangXiao 阅读(1) 评论(0) 推荐(0) 编辑
论文笔记：Diffusion-Convolutional Neural Networks （传播-卷积神经网络）
摘要：Diffusion-Convolutional Neural Networks （传播-卷积神经网络）2018-04-09 21:59:02 1. Abstract: 我们提出传播-卷积神经网络（DCNNs），一种处理 graph-structured data 的新模型。随着 DCNNs 的介绍， 阅读全文
posted @ 2018-04-09 22:48 AHU-WangXiao 阅读(4593) 评论(0) 推荐(0) 编辑
论文笔记：Object Detection Meets Knowledge Graphs
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posted @ 2018-02-08 17:02 AHU-WangXiao 阅读(4) 评论(0) 推荐(0) 编辑
论文笔记：Inductive Representation Learning on Large Graphs
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posted @ 2018-02-06 23:26 AHU-WangXiao 阅读(2) 评论(0) 推荐(0) 编辑
【论文笔记】Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
摘要：Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition 2018-01-28 15:45:13 研究背景和动机： 行人动作识别（Human Action Recognition）主要从多个 阅读全文
posted @ 2018-01-28 17:07 AHU-WangXiao 阅读(15384) 评论(0) 推荐(0) 编辑
【论文笔记】Learning Convolutional Neural Networks for Graphs
摘要：Learning Convolutional Neural Networks for Graphs 2018-01-17 21:41:57 【Introduction】 这篇 paper 是发表在 ICML 2016 的：http://jmlr.org/proceedings/papers/v48/ 阅读全文
posted @ 2018-01-17 22:30 AHU-WangXiao 阅读(3781) 评论(0) 推荐(0) 编辑
论文笔记之：Semi-supervised Classification with Graph Convolutional Networks
摘要：Semi-supervised Classification with Graph Convolutional Networks 2018-01-16 22:33:36 1. 文章主要思想： 2. 代码实现（Pytorch）：https://github.com/tkipf/pygcn 【Intro 阅读全文
posted @ 2018-01-16 23:11 AHU-WangXiao 阅读(7171) 评论(0) 推荐(0) 编辑
Graph Convolutional Networks (GCNs) 简介
摘要：Graph Convolutional Networks 2018-01-16 19:35:17 this Tutorial comes from YouTube Video：https://www.youtube.com/watch?v=0_O8PdZBc5s&t=2097s 之所以这个方面的研究 阅读全文
posted @ 2017-12-18 21:42 AHU-WangXiao 阅读(5637) 评论(0) 推荐(0) 编辑

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