Deep Learning 論文筆記 (3): Deep Learning Face Attributes in the Wild
這是Xiaogang Wang和Xiaoou Tang組的一篇technical report，作者是優秀的學弟Ziwei Liu。 通常人臉識別裏面先要對人臉圖像進行檢測和對齊，然後在相應的地方提取特徵，但是在自然場景中，由於背景混亂，人臉檢測和對齊會受到影響，進而影響特徵提取和最後的識別效果。 這篇論文的主要思想是通過學習兩個deep network來構建face attribute
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相關文章
- 1. 《Learning Deep Representation for Face Alignment with Auxiliary Attributes》論文閱讀筆記
- 2. 論文筆記（一）Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach
- 3. Learning to Detect Fake Face Images in the Wild
- 4. 論文閱讀筆記《Deep Meta-Learning: Learning to Learn in the Concept Space》
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- 7. 論文筆記(1)：Deep Learning.
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- 9. 【論文筆記】Deep Learning on Graphs: A Survey
- 10. The Limitations of Deep Learning in Adversarial Settings論文筆記