Error-Corrected Margin-Based Deep Cross-Modal Hashing for Facial Image Retrieval

IEEE Transactions on Biometrics, Behavior, and Identity Science, pp. 279-293, 2020.

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Abstract:

Cross-modal hashing facilitates mapping of heterogeneous multimedia data into a common Hamming space, which can be utilized for fast and flexible retrieval across different modalities. In this paper, we propose a novel cross-modal hashing architecture-deep neural decoder cross-modal hashing (DNDCMH), which uses a binary vector specifying ...More

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