Deep Semantic Hashing with Generative Adversarial Networks 论文review（翻译）
Deep Semantic Hashing with Generative Adversarial Networks 创新点： a) 通过半监督网络生成合成数据解决了监督哈希数据集的问题 b) 提出结合对抗网络的哈希结构，增强了哈希模型的泛化性，生成哈希码，不仅保存了图像之间的相似性，还保留了图像的语意（分类信息） background a) 现有大规模图像检索方法：hashing techniq
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