Contrastive Generative Adversarial Networks

时间 2020-12-20

标签 neural networks 繁體版

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文章目录概主要内容代码 Kang M., Park J. Contrastive Generative Adversarial Networks. arXiv preprint arXiv 2006.12681, 2020. 概如何将对比损失和GAN结合在一起呢? 主要内容还是老问题, 结合对比学习就是如何构造正负样本的问题. 首先看图c, 本文ContraGAN提取特征的方式为 D ϕ

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1. Triangle Generative Adversarial Networks
2. Graphical Generative Adversarial Networks
3. Generative Adversarial Networks overview（1）
4. Generative Adversarial Networks overview（4）
5. Self-Attention Generative Adversarial Networks
6. Generative Adversarial Networks overview（2）
7. Generative Adversarial Nets_GAN_paperReading
8. Conditional Generative Adversarial Networks（CGAN）笔记
9. Binary Generative Adversarial Networks for Image Retrieval
10. FACE AGING WITH CONDITIONAL GENERATIVE ADVERSARIAL NETWORKS

>>更多相关文章<<