論文閱讀分享（一）AutoGAN-Distiller:Searching to Compress Generative Adversarial Networks
一. The address of paper AutoGAN-Distiller:Searching to Compress Generative Adversarial Networks 這篇論文是ICML2020的一篇文章，其研究方向是GAN網絡的模型壓縮 論文地址: https://arxiv.org/abs/2006.08198 二. The introduction of paper
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相關文章
- 1. AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks, ICML2020
- 2. 論文閱讀——《Generative Adversarial Nets》
- 3. Image-to-Image Translation with Conditional Adversarial Networks論文閱讀分享(pix2pix)
- 4. Self-Attention Generative Adversarial Networks 論文解讀
- 5. 論文閱讀——《Conditional Generative Adversarial Nets》
- 6. Generative Adversarial Text to Image Synthesis 論文解讀
- 7. Generative Adversarial Nets 論文閱讀筆記
- 8. 【論文閱讀】CartoonGAN: Generative Adversarial Networks for Photo Cartoonization
- 9. 論文閱讀——Deformable Medical Image Registration Using Generative Adversarial Networks
- 10. 論文閱讀——Synthetic Medical Images from Dual Generative Adversarial Networks