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Cross-Model Hashing Retrieval Based on Deep Residual Network
2021
Computer systems science and engineering
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
doi:10.32604/csse.2021.014563
fatcat:maw3votu7bdl5csccvqniby65i