[CVPR 18] Discriminative Learning of Latent Features for Zero-Shot Recognition
零样本学习新进展：使用鉴别性特征实现零样本识别 Discriminative Learning of Latent Features for Zero-Shot Recognition 本文亮点：对人类定义属性进行扩充，学习隐含属性。 ZSL 零样本学习(zero-shot learning, ZSL)详见郑哲东在知乎中的回答。它的目标是通过训练阶段从已见类别中学习到的知识，来识别未见类别。 Ab
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相关文章
- 1. [CVPR 2018笔记] Discriminative Learning of Latent Features for Zero-Shot Recognition
- 2. [CVPR 2018]Discriminative Learning of Latent Features for Zero-Shot Recognition
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- 4. Discriminative Embeddings of Latent Variable Models for Structured Data
- 5. [翻译]Learning Deep Features for Discriminative Localization
- 6. [ICCV 17] Learning Discriminative Latent Attributes for Zero-Shot Classification
- 7. A Discriminative Feature Learning Approach for Deep Face Recognition
- 8. Learning Deep Features for Discriminative Localization笔记
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- 10. 论文阅读-《Learning Deep Features for Discriminative Localization》