Videos as Space-Time Region Graphs文章解讀
Videos as Space-Time Region Graphs（Wang的工作）[1]主要的創新是爲視頻構建了一個graph structure，並利用圖卷積網絡來處理視頻問題。採用的圖卷積層公式都是基於Z=AXW，該公式是由kipf在Semi-Supervised Classification with Graph Convolutional Networks[2上提出的，也是首次提出GC
相關文章
- 1. Videos as Space-Time Region Graphs閱讀筆記
- 2. 【論文筆記】視頻分類與圖網絡的結合 Videos as Space-Time Region Graphs
- 3. Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition文章解讀
- 4. Active SLAM using Connectivity Graphs as Priors
- 5. Region Proposal by Guided Anchoring論文解讀
- 6. Character Region Awareness for Text Detection 論文解讀
- 7. GA: Region Proposal by Guided Anchoring論文解讀
- 8. CVPR2019文章GA-RPN《Region Proposal by Guided Anchoring》文章理解
- 9. 文章解讀
- 10. 讀論文Trust Region Policy Optimization
- 更多相關文章...
- • C# 文本文件的讀寫 - C#教程
- • *.hbm.xml映射文件詳解 - Hibernate教程
- • 三篇文章瞭解 TiDB 技術內幕 —— 談調度
- • 三篇文章瞭解 TiDB 技術內幕——說存儲
相關標籤/搜索
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。
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. Videos as Space-Time Region Graphs閱讀筆記
- 2. 【論文筆記】視頻分類與圖網絡的結合 Videos as Space-Time Region Graphs
- 3. Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition文章解讀
- 4. Active SLAM using Connectivity Graphs as Priors
- 5. Region Proposal by Guided Anchoring論文解讀
- 6. Character Region Awareness for Text Detection 論文解讀
- 7. GA: Region Proposal by Guided Anchoring論文解讀
- 8. CVPR2019文章GA-RPN《Region Proposal by Guided Anchoring》文章理解
- 9. 文章解讀
- 10. 讀論文Trust Region Policy Optimization