對抗學習之Learning from Simulated and Unsupervised Images through Adversarial Training
今天講一篇cvpr2017的best paper，不是大家熟知的densely connect，是蘋果的Learning from Simulated and Unsupervised Images through Adversarial Training，用GAN來做對抗學習的。 Motivation： 搞數據一直是深度學習的老大難問題，也是工業界優勢於學術界的地方，需要花錢標很多數
相關文章
- 1. 【paper 2】Learning from Simulated and Unsupervised Images through Adversarial Training
- 2. Learning from Simulated and Unsupervised Images through Adversarial Training：解析simGAN
- 3. 論文筆記（三） 【Learning from Simulated and Unsupervised Images through Adversarial Training】
- 4. CS231n Lecture 16 | Adversarial Examples and Adversarial Training
- 5. [論文翻譯]Intramodality Domain Adaptation Using Self Ensembling and Adversarial Training
- 6. Beyond Narrative Description: Generating Poetry from Images by Multi-Adversarial Training
- 7. GAIL生成對抗模仿學習詳解《Generative adversarial imitation learning》
- 8. Supervised learning and Unsupervised learning
- 9. 資源|17類對抗網絡經典論文及開源代碼（附源碼）
- 10. Learning Deep Learning（學習深度學習）
- 更多相關文章...
- • 您已經學習了 XML Schema，下一步學習什麼呢？ - XML Schema 教程
- • 我們已經學習了 SQL，下一步學習什麼呢？ - SQL 教程
- • Tomcat學習筆記（史上最全tomcat學習筆記）
- • Kotlin學習（二）基本類型
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. 跳槽面試的幾個實用小技巧，不妨看看！
- 2. Mac實用技巧 |如何使用Mac系統中自帶的預覽工具將圖片變成黑白色?
- 3. Mac實用技巧 |如何使用Mac系統中自帶的預覽工具將圖片變成黑白色?
- 4. 如何使用Mac系統中自帶的預覽工具將圖片變成黑白色?
- 5. Mac OS非兼容Windows軟件運行解決方案——「以VMware & Microsoft Access爲例「
- 6. 封裝 pyinstaller -F -i b.ico excel.py
- 7. 數據庫作業三ER圖待完善
- 8. nvm安裝使用低版本node.js(非命令安裝)
- 9. 如何快速轉換圖片格式
- 10. 將表格內容分條轉換爲若干文檔
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. 【paper 2】Learning from Simulated and Unsupervised Images through Adversarial Training
- 2. Learning from Simulated and Unsupervised Images through Adversarial Training：解析simGAN
- 3. 論文筆記（三） 【Learning from Simulated and Unsupervised Images through Adversarial Training】
- 4. CS231n Lecture 16 | Adversarial Examples and Adversarial Training
- 5. [論文翻譯]Intramodality Domain Adaptation Using Self Ensembling and Adversarial Training
- 6. Beyond Narrative Description: Generating Poetry from Images by Multi-Adversarial Training
- 7. GAIL生成對抗模仿學習詳解《Generative adversarial imitation learning》
- 8. Supervised learning and Unsupervised learning
- 9. 資源|17類對抗網絡經典論文及開源代碼（附源碼）
- 10. Learning Deep Learning（學習深度學習）