Unsupervised cross-modal hashing (UCMH) has become a hot topic recently. Current
UCMH focuses on exploring data similarities. However, current UCMH methods calculate …

Hashing has recently sparked a great revolution in cross-modal retrieval because of its low
storage cost and high query speed. Recent cross-modal hashing methods often learn …

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 …

Multimodal hashing methods have gained considerable attention in recent years due to their
effectiveness and efficiency for cross-modal similarity searches. Existing multimodal hashing …

Cross-modal hashing, favored for its effectiveness and efficiency, has received wide
attention to facilitating efficient retrieval across different modalities. Nevertheless, most …

Hashing has been widely used for large-scale multimedia retrieval because of its
advantages in storage and retrieval efficiency. Traditional supervised hash 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 …

Cross-modal retrieval aims to realize accurate and flexible retrieval across different
modalities of data, eg, image and text, which has achieved significant progress in recent …

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 …

Deep cross-modal hashing which integrates deep learning and hashing into cross-modal
retrieval, achieves better performance than traditional cross-modal retrieval methods …