We first construct a joint semantic similarity matrix, which supervises hash learning by integrating multi-modal features and semantic labels. This method ...

In this paper, we propose a novel Extensible Multi-similarity Cross-modal Hash Learning (EMCHL) method.

Joint-Semantics Multi-Similarity Hashing for Cross-Modal Retrieval. W. Wang, Z. Guo, C. Yang, J. Wang, S. Jiang, and T. Zhang. ICASSP, page 7905-7909.

Deep cross-modal hashing further im- proves the retrieval performance as the deep neural net- works can generate more semantic relevant features and hash codes.

This fine-grained semantic similarity can more accurately measure the semantic relationships between multi-label data. Proceedings of the Thirty-Third ...

Jan 14, 2024 · We propose a novel supervised cross-modal hashing method called Joint Specifics and Dual-Semantic Hashing Learning for Cross-Modal Retrieval (SDSHL).

Missing: Multi- | Show results with:Multi-

Feb 7, 2020 · We present a novel Robust Multilevel Semantic Hashing (RMSH) for more accurate cross-modal retrieval. It seeks to preserve fine-grained similarity among data ...

Nov 1, 2023 · Cross-modal hash has become a key technology for large datasets retrieval. However, some challenges still need to be tackled: 1) How to ...

This paper proposes a retrieval method for learning the rich semantic representations through associated labels and retaining more discriminative information ...