Deep Variational and Structural Hashing.

IEEE Transactions on Pattern Analysis and Machine Intelligence(2020)

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摘要
In this paper, we propose a deep variational and structural hashing (DVStH) method to learn compact binary codes for multimedia retrieval. Unlike most existing deep hashing methods which use a series of convolution and fully-connected layers to learn binary features, we develop a probabilistic framework to infer latent feature representation inside the network. Then, we design a struct layer rathe...
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关键词
Binary codes,Training,Visualization,Semantics,Quantization (signal),Probabilistic logic,Convolution
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