Learning a Similarity Metric Discriminatively, with Application to Face Verification.
** Learning a Similarity Metric Discriminatively, with Application to Face Verification (2005 CVPR) ** 文章提出了一種從數據中訓練相似性度量的方法。這種方法適用於識別和驗證任務，其中任務特點： （1）數據所屬的類別特別多 （2）有些類別在訓練的時候是未知的 （3）並且每個類別的訓練樣本特別少。 這
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相關文章
- 1. Learning a Similarity Metric Discriminatively, with Application to Face Verification
- 2. Learning a Similarity Metric Discriminatively, with Application to Face Verification 論文筆記
- 3. Learning a Similarity Metric Discriminatively, with Application to Face Verification(孿生網絡學習筆記)
- 4. Similarity Metric Learning for Face Recognition2013
- 5. Circle Loss: A Unified Perspective of Pair Similarity Optimization
- 6. Few-shot Learning with Meta Metric Learners
- 7. Large-scale Distance Metric Learning with Uncertainty
- 8. DeepID2：Deep Learning Face Representation by Joint Identification-Verification
- 9. 【2017_ICCV】Deep Metric Learning with Angular Loss
- 10. A Gentle Guide to Machine Learning