零样本-Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification_eccv2020
近来零样本学习文章大多基于生成模型，这篇文章也是在 GAN 的基础上更进一步来提高性能的。本文基于 VAE-GAN，作者说其他人用带 decoder 的模型，在训练之外就把 decoder 丢掉了，这很不好，因此作者倡议在训练、特征生成和分类都使用语义嵌入解码器 semantic embedding decoder (SED)。另外，使用的 feedback loop。创新点有两个，归纳起来就是
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相关文章
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