论文阅读理解 - CenterLoss: A Discriminative Feature Learning Approach

时间 2020-12-23

标签论文阅读 CenterLoss 人脸识别繁體版

原文原文链接

CenterLoss - A Discriminative Feature Learning Approach for Deep Face Recognition [Paper] [Caffe-Code] 摘要： Center Loss For Face Recognition - 提高CNN学习的特征的判别能力. Center Loss 通过学习每一类的深度特征的中心，同时惩罚深度特征与对应的类

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1. 阅读A Discriminative Feature Learning Approach for Deep Face Recognition
2. 文献阅读 - A Discriminative Feature Learning Approach for Deep Face Recognition
3. Center Loss: A Discriminative Feature Learning Approach for Deep Face Recognition（论文阅读笔记）
4. A Discriminative Feature Learning Approach for Deep Face Recognition
5. centerloss系列文章笔记——人脸识别：A Discriminative Feature Learning Approach forDeep Face Recognition
6. [论文阅读]Learning a Discriminative Feature Network for Semantic Segmentation
7. A Discriminative Feature Learning Approach for Deep Face Recognition 论文笔记
8. 论文笔记 | A Discriminative Feature Learning Approach for Deep Face Recognition
9. 《A Discriminative Feature Learning Approach for Deep Face Recognition》论文笔记
10. Learning a Discriminative Feature Network for Semantic Segmentation论文解读

>>更多相关文章<<