WeGAN: Deep Image Hashing with Weighted Generative Adversarial Networks
IEEE Transactions on Multimedia(2020)
摘要
Image hashing has been widely used in image retrieval tasks. Many existing methods generate hashing codes based on image feature representations. They rarely consider the rich information such as image clustering information contained in the image set as well as uncertain relationships between images and tags simultaneously. In this paper, we develop a Weighted Generative Adversarial Networks (WeG...
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关键词
Gallium nitride,Generative adversarial networks,Deep learning,Uncertainty,Semantics,Task analysis,Linear programming
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