[2019CVPR論文筆記]One-Shot Object Detection with Co-Attention and Co-Excitation

時間 2020-12-30

標籤 CVPR2019 Few-shot Learning 简体版

原文原文鏈接

One-Shot Object Detection with Co-Attention and Co-Excitation 摘要 1.概論介紹 2.相關工作 3.研究方法 3.1 Model 3.2 Non-local object proposals 3.3 Squeeze and co-excitation 3.4 Proposal ranking 4. 實驗結果論文連接：https://a

>>阅读原文<<

1. 論文筆記：Integrated Object Detection and Tracking with Tracklet-Conditioned Detection
2. 《EfficientDet：Scalable and Efficient Object Detection》論文筆記
3. 【論文筆記】：Object detection with location-aware deformable convolution and backward attention filtering
4. 論文筆記：Reinforcing LiDAR-Based 3D Object Detection with RGB and 3D Information
5. 論文筆記——Camouflaged Object Detection
6. 【論文筆記 detection】soft-nms: Improving Object Detection With One Line of Code
7. 【論文筆記】Object Contour Detection with a Fully Convolutional Encoder-Decoder Network
8. [Arxiv1706] Few-Example Object Detection with Model Communication 論文筆記
9. 【論文閱讀筆記】Aspect-based sentiment analysis with alternating coattention networks
10. Bottom-up Object Detection by Grouping Extreme and Center Points 論文筆記
更多相關文章...
• XSL-FO instream-foreign-object 對象 - XSL-FO 教程
• ASP.NET Razor - 標記 - ASP.NET 教程
• Tomcat學習筆記（史上最全tomcat學習筆記）
• RxJava操作符（七）Conditional and Boolean

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. resiprocate 之repro使用
2. Ubuntu配置Ｇithub並且新建倉庫push代碼，從已有倉庫clone代碼，並且push
3. 設計模式9——模板方法模式
4. avue crud form組件的快速配置使用方法詳細講解
5. python基礎B
6. 從零開始···將工程上傳到github
7. Eclipse插件篇
8. Oracle網絡服務獨立監聽的配置
9. php7 fmp模式
10. 第5章　Linux文件及目錄管理命令基礎

本站公眾號

歡迎關注本站公眾號,獲取更多信息

1. 論文筆記：Integrated Object Detection and Tracking with Tracklet-Conditioned Detection
2. 《EfficientDet：Scalable and Efficient Object Detection》論文筆記
3. 【論文筆記】：Object detection with location-aware deformable convolution and backward attention filtering
4. 論文筆記：Reinforcing LiDAR-Based 3D Object Detection with RGB and 3D Information
5. 論文筆記——Camouflaged Object Detection
6. 【論文筆記 detection】soft-nms: Improving Object Detection With One Line of Code
7. 【論文筆記】Object Contour Detection with a Fully Convolutional Encoder-Decoder Network
8. [Arxiv1706] Few-Example Object Detection with Model Communication 論文筆記
9. 【論文閱讀筆記】Aspect-based sentiment analysis with alternating coattention networks
10. Bottom-up Object Detection by Grouping Extreme and Center Points 論文筆記

>>更多相關文章<<