Deep Learning 论文笔记 (3): Deep Learning Face Attributes in the Wild
这是Xiaogang Wang和Xiaoou Tang组的一篇technical report，作者是优秀的学弟Ziwei Liu。 通常人脸识别里面先要对人脸图像进行检测和对齐，然后在相应的地方提取特征，但是在自然场景中，由于背景混乱，人脸检测和对齐会受到影响，进而影响特征提取和最后的识别效果。 这篇论文的主要思想是通过学习两个deep network来构建face attribute
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相关文章
- 1. 《Learning Deep Representation for Face Alignment with Auxiliary Attributes》论文阅读笔记
- 2. 论文笔记（一）Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach
- 3. Learning to Detect Fake Face Images in the Wild
- 4. 论文阅读笔记《Deep Meta-Learning: Learning to Learn in the Concept Space》
- 5. Machine Learning & Deep Learning 论文阅读笔记
- 6. Security Risks in Deep Learning Implementations论文笔记
- 7. 论文笔记(1)：Deep Learning.
- 8. 论文笔记：Deep Residual Learning
- 9. 【论文笔记】Deep Learning on Graphs: A Survey
- 10. The Limitations of Deep Learning in Adversarial Settings论文笔记