Detecting and Recognizing Human-Object Interactions
出發點：過去只是做物體檢測，但是並沒有做物體關係之間的聯繫，大牛們開始做聯繫了，他們覺得以人爲中心的交互尤爲重要 要解決的問題： 在以後人體檢測和物體檢測的基礎上①判斷什麼物體是與人有關的②如何根據人體所在區域/人物所在區域判斷action (a)分支爲faster RCNN，檢測圖像中的人(Sh)和物(So)， (b)分支爲根據人體所在區域的特徵圖預測行爲及與人相關的物體 (c)分支爲根據人體
相關文章
- 1. 論文閱讀：Detecting and Recognizing Human-Object Interactions
- 2. 圖像理解--Detecting and Recognizing Human-Object Interactions
- 3. 【論文筆記】CVPR2018 Detecting and Recognizing Human-Object Interactions
- 4. UAC Processes and Interactions
- 5. Detecting and counting tiny faces
- 6. Detecting and Defending against PowerShell Shells
- 7. Detecting events and key actors in multi-person videos
- 8. [CS131] Lecture 16 Recognizing Objects by Parts
- 9. 【視頻動作識別】Cvpr_2018_Attend and Interact_Higher-Order Object Interactions for Video Understanding
- 10. Identifying drug–target interactions based on graph convolutional network and deep neural network 論文
- 更多相關文章...
- • W3C RDF and OWL 活動 - W3C 教程
- • XSL-FO table-and-caption 對象 - XSL-FO 教程
- • RxJava操作符（七）Conditional and Boolean
- • 算法總結-股票買賣
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。
最新文章
- 1. CVPR 2020 論文大盤點-光流篇
- 2. Photoshop教程_ps中怎麼載入圖案？PS圖案如何導入？
- 3. org.pentaho.di.core.exception.KettleDatabaseException:Error occurred while trying to connect to the
- 4. SonarQube Scanner execution execution Error --- Failed to upload report - 500: An error has occurred
- 5. idea 導入源碼包
- 6. python學習 day2——基礎學習
- 7. 3D將是頁遊市場新賽道？
- 8. osg--交互
- 9. OSG-交互
- 10. Idea、spring boot 圖片(pgn顯示、jpg不顯示)解決方案
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. 論文閱讀：Detecting and Recognizing Human-Object Interactions
- 2. 圖像理解--Detecting and Recognizing Human-Object Interactions
- 3. 【論文筆記】CVPR2018 Detecting and Recognizing Human-Object Interactions
- 4. UAC Processes and Interactions
- 5. Detecting and counting tiny faces
- 6. Detecting and Defending against PowerShell Shells
- 7. Detecting events and key actors in multi-person videos
- 8. [CS131] Lecture 16 Recognizing Objects by Parts
- 9. 【視頻動作識別】Cvpr_2018_Attend and Interact_Higher-Order Object Interactions for Video Understanding
- 10. Identifying drug–target interactions based on graph convolutional network and deep neural network 論文