Cross-modal hashing (CMH) has gained much attention due to its effectiveness and
efficiency in facilitating efficient retrieval between different modalities. Whereas, most …

With the explosive growth of multimedia contents, multimedia retrieval is facing
unprecedented challenges on both storage cost and retrieval speed. Hashing technique can …

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

Deep hashing has been widely used for large-scale cross-modal retrieval benefited from the
low storage cost and fast search speed. However, most existing deep supervised methods …

Recently, numerous proxy hash code based methods, which sufficiently exploit the label
information of data to supervise the training of hashing models, have been proposed …

Due to the strong nonlinear representation capabilities of deep neural networks and the low
storage and high efficiency characteristics of hash learning, deep cross-modal hashing has …

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 …

The similarity calculation is too simple in most cross-modal hash retrieval methods, which do
not consider the impact of the relations between instances. To solve this problem, this paper …

Due to the high computational efficiency and low storage cost, cross-modal hashing retrieval
attracts great deal of attention. However, as heterogeneous data from different modalities …

Recently, many efforts have been devoted to improving the retrieval performance of
supervised cross-modal hashing; however, current methods are gradually reaching a …