Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization.

IEEE Transactions on Pattern Analysis and Machine Intelligence(2018)

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摘要
Recent vision and learning studies show that learning compact hash codes can facilitate massive data processing with significantly reduced storage and computation. Particularly, learning deep hash functions has greatly improved the retrieval performance, typically under the semantic supervision. In contrast, current unsupervised deep hashing algorithms can hardly achieve satisfactory performance d...
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关键词
Binary codes,Optimization,Image retrieval,Quantization (signal),Adaptation models,Data models,Semantics,Unsupervised learning
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