[CVPR 2018笔记] 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 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。 本文亮点：对人类定义属性进行扩充，学习了隐含属性。 Abstract 摘要：零样本学习（ZSL）的目标是通过学习图像表示和语义表示之间的嵌入空间来识别未见图像类别。多年来，在现有的研究成果中，
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相关文章
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