Cited By
View all- Li BWu YLi Z(2025)Efficient Parameter-free Adaptive Hashing for Large-Scale Cross-Modal RetrievalInternational Journal of Approximate Reasoning10.1016/j.ijar.2025.109383(109383)Online publication date: Feb-2025
Hashing methods have recently attracted extensive attention in cross-modal retrieval. Most supervised hashing methods attempt to preserve the semantic information into hash codes by leveraging the original logical label matrix. However, they generally ...
Benefiting from fast retrieval speed and low storage costs, cross-modal hashing retrieval has become a widely-used approximate nearest-neighbor technique in large-scale data retrieval. Most existing cross-modal hashing methods assume that the ...
Deep cross-modal hashing enables a flexible and efficient way for large-scale cross-modal retrieval. Existing cross-modal retrieval methods based on deep hashing aim to learn the unified hashing representation for different modalities ...
Association for Computing Machinery
New York, NY, United States
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in