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

Unsupervised hashing methods have attracted widespread attention with the explosive
growth of large-scale data, which can greatly reduce storage and computation by learning …

With the development of video network, image set classification (ISC) has received a lot of
attention and can be used for various practical applications, such as video based …

Owing to its query and storage efficiency, hash learning has sparked much interest for Cross-
Modal Retrieval (CMR) task. Previous literatures have proved the superiority of supervised …

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 …

Cross-modal hashing has been widely used in multimedia retrieval tasks due to its fast
retrieval speed and low storage cost. Recently, many deep unsupervised cross-modal …

In recent years, Cross-Modal Hashing (CMH) has attracted much attention due to its fast
query speed and efficient storage. Previous studies have achieved promising results for …

Cross-modal hashing hasrecently gained an increasing attention for its efficiency and fast
retrieval speed in indexing the multimedia data across different modalities. Nevertheless, the …

Supervised cross-modal hashing has received wide attention in recent years. However,
existing methods primarily rely on sample-wise semantic relationships to evaluate the …

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 …