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
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 connection network to extract the… More >
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