Semantic Communication (SC) has emerged as a novel communication paradigm that
provides a receiver with meaningful information extracted from the source to maximize …

Cross-modal hashing has sparked much attention in large-scale information retrieval for its
storage and query efficiency. Despite the great success achieved by supervised …

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 …

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 …

Hashing methods have captured much attention for cross-modal retrieval in recent years.
Most existing approaches mainly focus on preserving the semantic similarity across …

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 …

The content-based remote sensing image retrieval (CBRSIR) has recently become a hot
topic due to its wide applications in analysis of remote sensing data. However, since …

With the development of earth observation technology, massive amounts of remote sensing
(RS) images are acquired. To find useful information from these images, cross-modal RS …

To reduce the extreme label dependence of supervised product quantization methods, the
semi-supervised paradigm usually employs massive unlabeled data to assist in regularizing …