JavaShuo
欄目
標籤
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
時間 2021-01-02
原文
原文鏈接
這篇文章可以說很晦澀了,作者用圖卷積學習骨架數據,大概看一遍文章就知道作者建立了3-D Graph,然後用圖卷積來學習所建立的圖數據特徵,然後再識別行爲。但是這不是晦澀的地方,畢竟一個圖,就看明白了,晦澀的地方是文章中的數據是的維度以及這個維度計算是怎麼在圖卷積中流動的。不類比傳統卷積還好,偏偏現在大多都是拿傳統卷積來講圖卷積,然後,會不自覺的用二維歐幾里德圖形裏的傳統卷積來考慮圖卷積,這就開始蛋
>>阅读原文<<
相關文章
1.
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition(動作識別)
2.
論文瀏覽(32) Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
3.
論文翻譯:Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
4.
Graph Convolutional Networks for Temporal Action Localization
5.
paper reading:Part-based Graph Convolutional Network for Action Recognition
6.
DDGCN: A Dynamic Directed Graph Convolutional Network for Action Recognition
7.
學習總結《Actional-Structural Graph Convolutional Networks for Skeleton-based Action Recognition》
8.
StNet: Local and Global Spatial-Temporal Modeling for Action Recognition
9.
論文:3D Convolutional Neural Networks for Human Action Recognition
10.
Dynamic Spatial-Temporal Graph Convolutional Neural Networks for Traffic Forecasting總結
更多相關文章...
•
Swift for 循環
-
Swift 教程
•
Scala for循環
-
Scala教程
•
IntelliJ IDEA代碼格式化設置
•
使用阿里雲OSS+CDN部署前端頁面與加速靜態資源
相關標籤/搜索
networks
recognition
graph
spatial
temporal
convolutional
action
transformation&action
c#action
action.....and
0
分享到微博
分享到微信
分享到QQ
每日一句
每一个你不满意的现在,都有一个你没有努力的曾经。
最新文章
1.
部署Hadoop(3.3.0)僞分佈式集羣
2.
從0開始搭建hadoop僞分佈式集羣(三:Zookeeper)
3.
centos7 vmware 搭建集羣
4.
jsp的page指令
5.
Sql Server 2008R2 安裝教程
6.
python:模塊導入import問題總結
7.
Java控制修飾符,子類與父類,組合重載覆蓋等問題
8.
(實測)Discuz修改論壇最後發表的帖子的鏈接爲靜態地址
9.
java參數傳遞時,究竟傳遞的是什麼
10.
Linux---文件查看(4)
本站公眾號
歡迎關注本站公眾號,獲取更多信息
相關文章
1.
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition(動作識別)
2.
論文瀏覽(32) Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
3.
論文翻譯:Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
4.
Graph Convolutional Networks for Temporal Action Localization
5.
paper reading:Part-based Graph Convolutional Network for Action Recognition
6.
DDGCN: A Dynamic Directed Graph Convolutional Network for Action Recognition
7.
學習總結《Actional-Structural Graph Convolutional Networks for Skeleton-based Action Recognition》
8.
StNet: Local and Global Spatial-Temporal Modeling for Action Recognition
9.
論文:3D Convolutional Neural Networks for Human Action Recognition
10.
Dynamic Spatial-Temporal Graph Convolutional Neural Networks for Traffic Forecasting總結
>>更多相關文章<<