Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition 人脸聚类
看论文前可先看下作者自己在知乎的总结： https://zhuanlan.zhihu.com/p/51806059 这篇论文简称CDP，利用监督方式训练一个度量模型判别图片对判别进而实现人脸聚类，使用聚类的人脸来训练人脸识别模型。 open-set and close-set 类似ImageNet识别这种，明确知道类别范围的分类问题称为close-set问题，但人脸方面基本都属于open-
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相关文章
- 1. Data Uncertainty Learning in Face Recognition
- 2. Face Recognition 人脸识别
- 3. Towards Universal Representation Learning for Deep Face Recognition（人脸识别）
- 4. 人脸识别（Face recognition ）
- 5. 3D【11】人脸重建：Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition
- 6. GhostVLAD for set-based face recognition
- 7. 人脸识别-3D:Learning from Millions of 3D Scans for Large-scale 3D Face Recognition
- 8. SphereFace Deep Hypersphere Embedding for Face Recognition
- 9. SphereFace: Deep Hypersphere Embedding for Face Recognition
- 10. [Bayes] *Bayesian Classifier for Face Recognition