With the prevalence of multimedia content on the Web which usually continuously comes in
a stream fashion, online cross-modal hashing methods have attracted extensive interest in …

Online hashing technology has attracted extensive attention owing to its effectiveness and
efficiency in processing large-scale streaming data. However, there are still some …

In recent years, many achievements have been made in improving the performance of
supervised cross-modal hashing. However, it remains an open issue on how to fully explore …

Supervised cross-modal hashing has gained a lot of attention recently. However, most
existing methods learn binary codes or hash functions in a batch-based scheme, which is …

Online image hashing aims to update hash functions on-the-fly along with newly arriving
data streams, which has found broad applications in computer vision and beyond. To this …

Recently, online hashing has received extensive attention in cross-modal retrieval since it
can effectively deal with large-scale streaming data. However, some of them in online cross …

Hashing methods are widely used for content-based image retrieval due to their attractive
time and space efficiencies. Several dynamic hashing methods have been proposed for …

Batch-based cross-modal hashing retrieval methods have made great progress. However,
they could not be applied in scenarios where new data continuously arrives in a stream. To …

Online cross-modal hashing has received increasing research attention due to its capability
of encoding streaming data and updating hash functions simultaneously. Despite significant …

Conventional hash-based retrieval method rely on the assumption that the query and
database are of the identical domain. However, cross-domain problem often occurs in real …