A Lightened CNN for Deep Face Representation讀後感
論文題目 A Light CNN for Deep Face Representation with Noisy Labels 1 本文提出一個 LIght CNN結構，可以在有巨大噪聲標籤的大規模數據集上，學習到compact embedding。提出了一個新型激活函數Max-Feature-Map (MFM)，該函數不僅能區分noisy and informative signals，還在特徵
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相關文章
- 1. Learning Invariant Deep Representation for NIR-VIS Face Recognition
- 2. 【論文筆記】A Light CNN for Deep Face Representation with Noisy Label
- 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
- 5. 閱讀A Discriminative Feature Learning Approach for Deep Face Recognition
- 6. 論文閱讀 《BiCov: a novel image representation for person re-identification and face verification》
- 7. 文獻閱讀 - A Discriminative Feature Learning Approach for Deep Face Recognition
- 8. Face R-CNN論文解讀
- 9. SphereFace: Deep Hypersphere Embedding for Face Recognition
- 10. 2017 Discriminative Representation Combinations for Accurate Face Spoofing Detection