零樣本-Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification_eccv2020
近來零樣本學習文章大多基於生成模型，這篇文章也是在 GAN 的基礎上更進一步來提高性能的。本文基於 VAE-GAN，作者說其他人用帶 decoder 的模型，在訓練之外就把 decoder 丟掉了，這很不好，因此作者倡議在訓練、特徵生成和分類都使用語義嵌入解碼器 semantic embedding decoder (SED)。另外，使用的 feedback loop。創新點有兩個，歸納起來就是
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相關文章
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