Learning a Similarity Metric Discriminatively, with Application to Face Verification.
** Learning a Similarity Metric Discriminatively, with Application to Face Verification (2005 CVPR) ** 文章提出了一种从数据中训练相似性度量的方法。这种方法适用于识别和验证任务，其中任务特点： （1）数据所属的类别特别多 （2）有些类别在训练的时候是未知的 （3）并且每个类别的训练样本特别少。 这
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相关文章
- 1. Learning a Similarity Metric Discriminatively, with Application to Face Verification
- 2. Learning a Similarity Metric Discriminatively, with Application to Face Verification 论文笔记
- 3. Learning a Similarity Metric Discriminatively, with Application to Face Verification(孪生网络学习笔记)
- 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