Hashing has been an emerging topic and has recently attracted widespread attention in
multi-modal similarity search applications. However, most existing approaches rely on …

Online cross-modal hashing has gained attention for its adaptability in processing streaming
data. However, existing methods only define the hard similarity between data using labels …

Due to the low storage cost and fast retrieval speed, multi-modal hashing, which maps the
instances with different modal data-views into hash codes, has earned increasing research …

With the continuous generation of massive amounts of multimedia data nowadays, hashing
has demonstrated significant potentials for large-scale search. To handle the emerging …

The rapid expansion of multimedia data has generated an urgent need for efficient retrieval
methods. While batch-based cross-modal hashing has advanced precision in retrieval, it …

With the rapid development of social media, various types of tags uploaded by social users
are attached to the images. Compared to clean labels marked by experts, although user …

Due to its excellent query and storage efficiency to facilitate large-scale multimedia retrieval,
multi-modal hashing (MMH) has garnered a lot of attention from researchers. Nevertheless …

Hashing methods have recently attracted extensive attention in cross-modal retrieval. Most
supervised hashing methods attempt to preserve the semantic information into hash codes …

Multi-modal hashing has been proposed due to its flexibility and effectiveness in multimedia
retrieval tasks. Nevertheless, the majority of multi-modal hashing methods now in use …

In the real world, multi-modal data often appears in a streaming fashion, and there is a
growing demand for similarity retrieval from such non-stationary data, especially at a large …