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[CVPR 2018]Discriminative Learning of Latent Features for Zero-Shot Recognition
時間 2020-12-30
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零樣本學習
深度學習
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文章目錄 背景 貢獻 模型 The Image Feature Network(FNet) The Zoom Network(ZNet) The Embedding Network(ENet) Prediction 實驗 背景 作者認爲當前(2018年前)zero-shot研究的核心主要是在視覺空間和語意空間中學習合適的映射關係,而忽視了學習ZSL問題中 有判別力的表示。幾乎所有的模型都有着相似的
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相關文章
1.
[CVPR 2018筆記] Discriminative Learning of Latent Features for Zero-Shot Recognition
2.
[CVPR 18] Discriminative Learning of Latent Features for Zero-Shot Recognition
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