Jan 8, 2024 · This study proposes a novel method called scalable unsupervised hashing (SUH) for large-scale cross-modal retrieval.
scholar.google.com › citations
This study proposes a novel method called scalable unsupervised hashing (SUH) for large-scale cross-modal retrieval.
Sep 9, 2024 · Unsupervised hashing has attracted extensive attention in effectively and efficiently tackling large-scale cross-modal retrieval task.
This paper proposed a new kind of unsupervised cross-modal hashing method which utilized sparse graph structures to exploit similarity information.
Cross-modal hashing has been widely used in multimedia retrieval tasks due to its fast retrieval speed and low storage cost.
In this work, we present a novel supervised cross-modal hashing method using Asymmetric Scalable Cross-Modal Hashing (ASCMH). It can explore consistency and ...
Scalable Unsupervised Hashing via Exploiting Robust Cross-Modal Consistency ... A novel cross- modal hashing method, termed discrete cross-modal hashing ...
We propose a novel supervised hashing method with dual consistency preservation, called Discrete Online Cross-Modal Hashing (DOCMH).
Unsupervised cross-modal hashing has received increasing attention because of its efficiency and scalability for large-scale data retrieval and analysis.
Sep 27, 2020 · Cross-modal hashing algorithms are roughly divided into supervised cross-modal hashing and unsupervised cross-modal hashing which are.