論文筆記（一）【 Disentangled Representation Learning GAN for Pose-Invariant Face Recognition】
論文地址：論文 大體分爲兩部分，第一部分是自己讀文章時的記錄，第二部分是自己總的感想。 一、論文概述： 1、在摘要中提出了DR-GAN的名字，給出了論文的三個創新點。 （1）通過generator 的encoder-decoder框架學習了生成和判別的表示（representation）； （2）這種表示是從姿態這種人臉變量得出。姿態（pose）代碼傳輸到decoder，姿態的估計（estimat
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相關文章
- 1. DR-GAN (CVPR 2017, Disentangled Representation Learning GAN for Pose-Invariant Face Recognition)
- 2. Learning Invariant Deep Representation for NIR-VIS Face Recognition
- 3. 《Learning Deep Representation for Face Alignment with Auxiliary Attributes》論文閱讀筆記
- 4. A Discriminative Feature Learning Approach for Deep Face Recognition 論文筆記
- 5. 論文筆記 | A Discriminative Feature Learning Approach for Deep Face Recognition
- 6. 《A Discriminative Feature Learning Approach for Deep Face Recognition》論文筆記
- 7. 【論文筆記】Deep Residual Learning for Image Recognition
- 8. Deep Residual Learning for Image Recognition 論文筆記
- 9. 論文筆記——Deep Residual Learning for Image Recognition
- 10. 論文筆記：Deep Residual Learning for Image Recognition