论文笔记 | A Discriminative Feature Learning Approach for Deep Face Recognition
出处：ECCV 2016 论文：https://kpzhang93.github.io/papers/eccv2016.pdf 代码：https://github.com/ydwen/caffe-face 摘要： 在大多数可用的CNN中，softmax损失函数被用作训练深度模型的监督信号。为了提高深度学习特征的判别力，本文提出了一种新的监督信号，称为center loss。中心损失同时学习每个类别
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相关文章
- 1. A Discriminative Feature Learning Approach for Deep Face Recognition
- 2. A Discriminative Feature Learning Approach for Deep Face Recognition 论文笔记
- 3. 《A Discriminative Feature Learning Approach for Deep Face Recognition》论文笔记
- 4. Center Loss: A Discriminative Feature Learning Approach for Deep Face Recognition（论文阅读笔记）
- 5. 文献阅读 - A Discriminative Feature Learning Approach for Deep Face Recognition
- 6. 阅读A Discriminative Feature Learning Approach for Deep Face Recognition
- 7. 【人脸识别】A Discriminative Feature Learning Approach for Deep Face Recognition
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- 10. 论文阅读理解 - CenterLoss: A Discriminative Feature Learning Approach