A Simple yet Effective Way for Improving the Performance of GANs
A Simple yet Effective Way for Improving the Performance of GANs 摘要 作者提出了一種簡單而有效的方法，在不增加訓練開銷或修改網絡結構的情況下提高生成對抗網絡的性能。該方法在判別器處採用了一種新的級聯抑制(CR)模塊，迭代提取多個非重疊特徵。CR模塊支持判別器對真實圖像和生成的圖像進行有效區分，並對判別器進行了較強的懲罰。爲了欺騙包含
相關文章
- 1. Improving performance – A full stack problem
- 2. A simple way to monitor SQL server SQL performance.
- 3. A Simple Framework for Contrastive Learning of Visual Representations
- 4. Improving direct-mapped cache performance by the addition of a small fully-associative cache and pre
- 5. Chapter 6 — Improving ASP.NET Performance
- 6. A Simple but Effective Classification Model for Grammatical Error Correction
- 7. A Taxonomy for Performance
- 8. DropBand:A Simple and Effective Method for Promoting the VHR Scene Classification Accuracy of CNN
- 9. The Way of Learning Mysql ------Cognition
- 10. The way to add is very simple
- 更多相關文章...
- • Scala for循環 - Scala教程
- • C# for/foreach 循環 - C#教程
- • 爲了進字節跳動，我精選了29道Java經典算法題，帶詳細講解
- • Kotlin學習（一）基本語法
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
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. Improving performance – A full stack problem
- 2. A simple way to monitor SQL server SQL performance.
- 3. A Simple Framework for Contrastive Learning of Visual Representations
- 4. Improving direct-mapped cache performance by the addition of a small fully-associative cache and pre
- 5. Chapter 6 — Improving ASP.NET Performance
- 6. A Simple but Effective Classification Model for Grammatical Error Correction
- 7. A Taxonomy for Performance
- 8. DropBand:A Simple and Effective Method for Promoting the VHR Scene Classification Accuracy of CNN
- 9. The Way of Learning Mysql ------Cognition
- 10. The way to add is very simple