論文閱讀：Shuffle-Then-Assemble: Learning Object-Agnostic Visual Relationship Features
Shuffle-Then-Assemble 文章 Paper認爲標記triplet的cost是很大的，而且人標記的relation有很強的的object的依賴性，就是某些relation對某些object-object會有bias。 shuffle-then-assemble的目的是希望訓練出一個比較object agnostic的CNN，這樣就能緩解relation對object的bia
相關文章
- 1. 論文閱讀：Large-Scale Visual Relationship Understanding
- 2. 論文閱讀：Visual Relationship Detection with Language Priors
- 3. 論文閱讀-《Learning Deep Features for Discriminative Localization》
- 4. 論文閱讀筆記《Low-shot Visual Recognition by Shrinking and Hallucinating Features》
- 5. 論文閱讀：Zoom-Net: Mining Deep Feature Interactions for Visual Relationship Recognition
- 6. Machine Learning & Deep Learning 論文閱讀筆記
- 7. 【論文閱讀筆記】Learning Spatiotemporal Features with 3D Convolutional Networks
- 8. [論文閱讀]Learning Discriminative Features with Multiple Granularityfor Person Re-Identification
- 9. 《Learning Features and Parts for Fine-Grained Recognition》論文閱讀筆記
- 10. 論文閱讀筆記（四十）：Learning Spatiotemporal Features with 3D Convolutional Networks（C3D）
- 更多相關文章...
- • RSS 閱讀器 - RSS 教程
- • C# 文本文件的讀寫 - C#教程
- • JDK13 GA發佈：5大特性解讀
- • 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。
最新文章
- 1. Duang!超快Wi-Fi來襲
- 2. 機器學習-補充03 神經網絡之**函數(Activation Function)
- 3. git上開源maven項目部署 多module maven項目（多module maven+redis+tomcat+mysql）後臺部署流程學習記錄
- 4. ecliple-tomcat部署maven項目方式之一
- 5. eclipse新導入的項目經常可以看到「XX cannot be resolved to a type」的報錯信息
- 6. Spark RDD的依賴於DAG的工作原理
- 7. VMware安裝CentOS-8教程詳解
- 8. YDOOK：Java 項目 Spring 項目導入基本四大 jar 包 導入依賴，怎樣在 IDEA 的項目結構中導入 jar 包 導入依賴
- 9. 簡單方法使得putty（windows10上）可以免密登錄樹莓派
- 10. idea怎麼用本地maven
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. 論文閱讀：Large-Scale Visual Relationship Understanding
- 2. 論文閱讀：Visual Relationship Detection with Language Priors
- 3. 論文閱讀-《Learning Deep Features for Discriminative Localization》
- 4. 論文閱讀筆記《Low-shot Visual Recognition by Shrinking and Hallucinating Features》
- 5. 論文閱讀：Zoom-Net: Mining Deep Feature Interactions for Visual Relationship Recognition
- 6. Machine Learning & Deep Learning 論文閱讀筆記
- 7. 【論文閱讀筆記】Learning Spatiotemporal Features with 3D Convolutional Networks
- 8. [論文閱讀]Learning Discriminative Features with Multiple Granularityfor Person Re-Identification
- 9. 《Learning Features and Parts for Fine-Grained Recognition》論文閱讀筆記
- 10. 論文閱讀筆記（四十）：Learning Spatiotemporal Features with 3D Convolutional Networks（C3D）