【論文筆記摘要】RON：Reverse connection with Objectness prior Networks
轉載出處：http://www.sohu.com/a/156480214_473283 1新智元編譯 來源：arxiv.org 作者：孔濤、孫富春等人 編譯：熊笑 基於深度網絡的目標對象檢測可以分爲 region-based 和 region-free 兩種方法 目標對象檢測領域正在取得重大進展，這主要得益於深度網絡。當前最好的基於深度網絡的目標檢測框架可以分爲兩個主要方法流派：基於區域的方法（r
相關文章
- 1. 《RON: Reverse Connection with Objectness Prior Networks for Object Detection》論文筆記
- 2. RON: Reverse Connection with Objectness Prior Networks for Object Detection
- 3. [目標檢測] RON-Reverse Connection with Objectness Prior Networks for Object Detection
- 4. 目標檢測--RON: Reverse Connection with Objectness Prior Networks for Object Detection
- 5. 論文筆記：Burst Denoising with Kernel Prediction Networks
- 6. 論文筆記：Exploring Neural Networks with Activation Atlases
- 7. Deep Anomaly Detection with Deviation Networks 論文筆記
- 8. Deep Image Prior摘要
- 9. Fatser R-CNN:Towards Real-Time Object Detecion with Region Proposal Networks--2015論文筆記
- 10. 【論文筆記】Training Very Deep Networks - Highway Networks
- 更多相關文章...
- • ADO Connection 對象 - ADO 教程
- • RDF 主要 元素 - RDF 教程
- • Tomcat學習筆記（史上最全tomcat學習筆記）
- • Scala 中文亂碼解決
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. 《RON: Reverse Connection with Objectness Prior Networks for Object Detection》論文筆記
- 2. RON: Reverse Connection with Objectness Prior Networks for Object Detection
- 3. [目標檢測] RON-Reverse Connection with Objectness Prior Networks for Object Detection
- 4. 目標檢測--RON: Reverse Connection with Objectness Prior Networks for Object Detection
- 5. 論文筆記：Burst Denoising with Kernel Prediction Networks
- 6. 論文筆記：Exploring Neural Networks with Activation Atlases
- 7. Deep Anomaly Detection with Deviation Networks 論文筆記
- 8. Deep Image Prior摘要
- 9. Fatser R-CNN:Towards Real-Time Object Detecion with Region Proposal Networks--2015論文筆記
- 10. 【論文筆記】Training Very Deep Networks - Highway Networks