DeepID1翻譯：Deep Learning Face Representation from Predicting 10,000 Classes
Abstract 摘要 This paper proposes to learn a set of high-level feature representations through deep learning, referred to as Deep hidden IDentity features (DeepID), for face verification. We argue that D
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- 5. Learning Invariant Deep Representation for NIR-VIS Face Recognition
- 6. DeepID2：Deep Learning Face Representation by Joint Identification-Verification
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- 9. 【論文翻譯】論文中英對照翻譯--（Learning Generalized Deep Feature Representation for Face Anti-Spoofing）（其一）
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相關文章
- 1. DeepID1-Deep Learning Face Representation from Predicting 10,000 Classes
- 2. 對Deep Learning Face Representation from Predicting 10,000 Classes論文的理解
- 3. Deep Learning Face Representation from Predicting 10,000 Classes - 閱讀筆記 -人臉特徵（DeepID）提取與識別
- 4. LEARNING NOTES FROM DEEP LEARNING
- 5. Learning Invariant Deep Representation for NIR-VIS Face Recognition
- 6. DeepID2：Deep Learning Face Representation by Joint Identification-Verification
- 7. DeepID2 "Deep Learning Face Representation by Joint Identification-Verification"
- 8. (轉) Learning from Imbalanced Classes
- 9. 【論文翻譯】論文中英對照翻譯--（Learning Generalized Deep Feature Representation for Face Anti-Spoofing）（其一）
- 10. DeepID1,DeepID2