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    ARTICLE

    Cross-Modal Hashing Retrieval Based on Deep Residual Network

    Zhiyi Li1,2,*, Xiaomian Xu2, Du Zhang1, Peng Zhang2

    Computer Systems Science and Engineering, Vol.36, No.2, pp. 383-405, 2021, DOI:10.32604/csse.2021.014563 - 05 January 2021

    Abstract In the era of big data rich in We Media, the single mode retrieval system has been unable to meet people’s demand for information retrieval. This paper proposes a new solution to the problem of feature extraction and unified mapping of different modes: A Cross-Modal Hashing retrieval algorithm based on Deep Residual Network (CMHR-DRN). The model construction is divided into two stages: The first stage is the feature extraction of different modal data, including the use of Deep Residual Network (DRN) to extract the image features, using the method of combining TF-IDF with the full… More >

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