Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition 人臉聚類
看論文前可先看下作者自己在知乎的總結： https://zhuanlan.zhihu.com/p/51806059 這篇論文簡稱CDP，利用監督方式訓練一個度量模型判別圖片對判別進而實現人臉聚類，使用聚類的人臉來訓練人臉識別模型。 open-set and close-set 類似ImageNet識別這種，明確知道類別範圍的分類問題稱爲close-set問題，但人臉方面基本都屬於open-
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相關文章
- 1. Data Uncertainty Learning in Face Recognition
- 2. Face Recognition 人臉識別
- 3. Towards Universal Representation Learning for Deep Face Recognition（人臉識別）
- 4. 人臉識別（Face recognition ）
- 5. 3D【11】人臉重建：Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition
- 6. GhostVLAD for set-based face recognition
- 7. 人臉識別-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