論文閱讀Synthetic to Real Adaptation with Generative Correlation Alignment Networks
論文題目：Synthetic to Real Adaptation with Generative Correlation Alignment Networks 作者：Xingchao Peng，Kate Saenko 來源： arxiv2017 1. 摘要 文章的想法是如果使用3D CAD建模的合成圖片進行訓練數據的數據增強，將會是一件非常有意義的事。然而，合成圖片與真實圖片之間存在較大的dom
相關文章
- 1. Synthetic to real adaptation with generative correlation alignment network
- 2. 論文閱讀——Synthetic Medical Images from Dual Generative Adversarial Networks
- 3. 【論文閱讀】Universal Domain Adaptation
- 4. Deep CORAL: Correlation Alignment for Deep Domain Adaptation（2016）
- 5. [cvpr2017]Unsupervised Pixel–Level Domain Adaptation with Generative Adversarial Networks
- 6. [論文閱讀]Faster R-CNN：Towards Real-Time Object Detection with Region Proposal Networks
- 7. 論文閱讀——《Unsupervised Representation Learning With Deep Convolutional Generative Adversarial Networks》
- 8. 論文閱讀分享（一）AutoGAN-Distiller:Searching to Compress Generative Adversarial Networks
- 9. Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks論文筆記
- 10. Deep CORAL: Correlation Alignment for Deep Domain Adaptation
- 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。
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. Synthetic to real adaptation with generative correlation alignment network
- 2. 論文閱讀——Synthetic Medical Images from Dual Generative Adversarial Networks
- 3. 【論文閱讀】Universal Domain Adaptation
- 4. Deep CORAL: Correlation Alignment for Deep Domain Adaptation（2016）
- 5. [cvpr2017]Unsupervised Pixel–Level Domain Adaptation with Generative Adversarial Networks
- 6. [論文閱讀]Faster R-CNN：Towards Real-Time Object Detection with Region Proposal Networks
- 7. 論文閱讀——《Unsupervised Representation Learning With Deep Convolutional Generative Adversarial Networks》
- 8. 論文閱讀分享（一）AutoGAN-Distiller:Searching to Compress Generative Adversarial Networks
- 9. Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks論文筆記
- 10. Deep CORAL: Correlation Alignment for Deep Domain Adaptation