René's URL Explorer Experiment


Title: PaStaNet: Toward Human Activity Knowledge Engine | Keavnn'Blog

Open Graph Title: PaStaNet: Toward Human Activity Knowledge Engine

X Title: PaStaNet: Toward Human Activity Knowledge Engine

Description: 这篇论文是上海交大卢策吾老师团队下李永露博士在2020CVPR会议三连中中的其中一篇。方向为HOIs方向，即人物交互。

Open Graph Description: 这篇论文是上海交大卢策吾老师团队下李永露博士在2020CVPR会议三连中中的其中一篇。方向为HOIs方向，即人物交互。

X Description: 这篇论文是上海交大卢策吾老师团队下李永露博士在2020CVPR会议三连中中的其中一篇。方向为HOIs方向，即人物交互。

Keywords:

Mail addresses
oooooooooooooooocoo@vip.qq.com

Opengraph URL: http://StepNeverStop.github.io/PaStaNet.html

Generator: Hexo 3.8.0

direct link

Domain: stepneverstop.github.io

google-site-verificationzu-9nWphPjrzXV8v514mkHknIz4dNfHlib56-KNAu44
NoneKeavnn'Blog
theme-color#222
og:typearticle
og:site_nameKeavnn'Blog
og:localezh-Hans
og:imagehttp://stepneverstop.github.io/PaStaNet/fig14.png
og:updated_time2020-04-12T11:38:34.924Z
twitter:cardsummary
twitter:imagehttp://stepneverstop.github.io/PaStaNet/Long_tailed_distribution.png

Links:

https://github.com/StepNeverStop
Keavnn'Blog https://stepneverstop.github.io/
首页 https://stepneverstop.github.io/
关于 https://stepneverstop.github.io/about/
标签 https://stepneverstop.github.io/tags/
分类 https://stepneverstop.github.io/categories/
归档 https://stepneverstop.github.io/archives/
搜索 javascript:;
DeepLearning https://stepneverstop.github.io/categories/DeepLearning/
卢策吾http://mvig.sjtu.edu.cn/
李永露https://dirtyharrylyl.github.io/
https://stepneverstop.github.io/PaStaNet.html#简介
http://arxiv.org/abs/2004.00945http://arxiv.org/abs/2004.00945
http://hake-mvig.cn/http://hake-mvig.cn/
https://stepneverstop.github.io/PaStaNet.html#文中精要
https://stepneverstop.github.io/PaStaNet.html#PaStaNet数据集
https://stepneverstop.github.io/PaStaNet.html#PaSta的定义
https://stepneverstop.github.io/PaStaNet.html#数据收集
https://stepneverstop.github.io/PaStaNet.html#行为标签
https://stepneverstop.github.io/PaStaNet.html#身体局部的盒子
https://stepneverstop.github.io/PaStaNet.html#局部状态PaSta标注
https://stepneverstop.github.io/PaStaNet.html#行为解析树
https://stepneverstop.github.io/PaStaNet.html#分层行为理解模型
https://stepneverstop.github.io/PaStaNet.html#局部状态PaSta识别
https://stepneverstop.github.io/PaStaNet.html#Activity2Vec
https://stepneverstop.github.io/PaStaNet.html#PaSta-R
https://stepneverstop.github.io/PaStaNet.html#实验
https://stepneverstop.github.io/PaStaNet.html#类比实验
https://stepneverstop.github.io/PaStaNet.html#Image-based-Activity-Recognition
https://stepneverstop.github.io/PaStaNet.html#Instance-based-Activity-Detection
https://stepneverstop.github.io/PaStaNet.html#Transfer-Learning-with-Activity2Vec
https://stepneverstop.github.io/PaStaNet.html#可视化结果
https://stepneverstop.github.io/PaStaNet.html#mAP
https://stepneverstop.github.io/PaStaNet.html#结论
https://stepneverstop.github.io/PaStaNet.html#引用
目标检测测评指标——mAPhttps://blog.csdn.net/xiezongsheng1990/article/details/89608923?depth_1-utm_source=distribute.pc_relevant.none-task-blog-BlogCommendFromBaidu-1&utm_source=distribute.pc_relevant.none-task-blog-BlogCommendFromBaidu-1
多标签图像分类任务的评价方法-mAPhttp://blog.sina.com.cn/s/blog_9db078090102whzw.html
PaStaNet: Toward Human Activity Knowledge Enginehttps://stepneverstop.github.io/PaStaNet.html
Keavnnhttps://stepneverstop.github.io/
http://StepNeverStop.github.io/PaStaNet.htmlhttps://stepneverstop.github.io/PaStaNet.html
署名-非商业性使用-相同方式共享 4.0 国际https://creativecommons.org/licenses/by-nc-sa/4.0/
dlhttps://stepneverstop.github.io/tags/dl/
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation https://stepneverstop.github.io/h-dqn.html
蓝猫淘气三千问 https://stepneverstop.github.io/rl3000questions.html
51 日志 https://stepneverstop.github.io/archives/
11 分类 https://stepneverstop.github.io/categories/index.html
26 标签 https://stepneverstop.github.io/tags/index.html
RSS https://stepneverstop.github.io/atom.xml
GitHubhttps://github.com/StepNeverStop
https://creativecommons.org/licenses/by-nc-sa/4.0/
Fisher Changhttps://bluefisher.github.io
1. 简介https://stepneverstop.github.io/PaStaNet.html#简介
2. 文中精要https://stepneverstop.github.io/PaStaNet.html#文中精要
2.1. PaStaNet数据集https://stepneverstop.github.io/PaStaNet.html#PaStaNet数据集
2.1.1. PaSta的定义https://stepneverstop.github.io/PaStaNet.html#PaSta的定义
2.1.2. 数据收集https://stepneverstop.github.io/PaStaNet.html#数据收集
2.1.3. 行为标签https://stepneverstop.github.io/PaStaNet.html#行为标签
2.1.4. 身体局部的盒子https://stepneverstop.github.io/PaStaNet.html#身体局部的盒子
2.1.5. 局部状态PaSta标注https://stepneverstop.github.io/PaStaNet.html#局部状态PaSta标注
2.1.6. 行为解析树https://stepneverstop.github.io/PaStaNet.html#行为解析树
2.2. 分层行为理解模型https://stepneverstop.github.io/PaStaNet.html#分层行为理解模型
2.2.1. 局部状态PaSta识别https://stepneverstop.github.io/PaStaNet.html#局部状态PaSta识别
2.2.2. Activity2Vechttps://stepneverstop.github.io/PaStaNet.html#Activity2Vec
2.2.3. PaSta-Rhttps://stepneverstop.github.io/PaStaNet.html#PaSta-R
3. 实验https://stepneverstop.github.io/PaStaNet.html#实验
3.1. 类比实验https://stepneverstop.github.io/PaStaNet.html#类比实验
3.2. Image-based Activity Recognitionhttps://stepneverstop.github.io/PaStaNet.html#Image-based-Activity-Recognition
3.3. Instance-based Activity Detectionhttps://stepneverstop.github.io/PaStaNet.html#Instance-based-Activity-Detection
3.4. Transfer Learning with Activity2Vechttps://stepneverstop.github.io/PaStaNet.html#Transfer-Learning-with-Activity2Vec
3.5. 可视化结果https://stepneverstop.github.io/PaStaNet.html#可视化结果
4. mAPhttps://stepneverstop.github.io/PaStaNet.html#mAP
5. 结论https://stepneverstop.github.io/PaStaNet.html#结论
6. 引用https://stepneverstop.github.io/PaStaNet.html#引用

Viewport: width=device-width, initial-scale=1, maximum-scale=1

URLs of crawlers that visited me.