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
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相關文章
- 1. Improving performance – A full stack problem
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