With the rapid development of online social recommendation system, substantial methods
have been proposed. Unlike traditional recommendation system, social recommendation …

In text-audio retrieval (TAR) tasks, due to the heterogeneity of contents between text and
audio, the semantic information contained in the text is only similar to certain frames within …

Cross-modal retrieval aims at retrieving highly semantic relevant information among multi-
modalities. Existing cross-modal retrieval methods mainly explore the semantic consistency …

In recent years, unmanned aerial vehicles (UAVs) have been widely used in various
industries (eg, search and rescue, express delivery, etc.) due to their high flexibility. In …

The scene graph is a symbolic data structure that comprehensively describes the objects
and visual relations in a visual scene, while ignoring the inherent perceptual saliency of …

Cross-modal retrieval aims to elucidate information fusion, imitate human learning, and
advance the field. Although previous reviews have primarily focused on binary and real …

Recently, image-text matching has been intensively explored to bridge vision and language.
Previous methods explore an inter-modality relationship between an image-text pair from …

With the rapid development of science and technology, all types of mixed media contain
large amounts of data. Traditional single multimedia data can no longer satisfy daily …

Cross-modal retrieval methods based on hashing have gained significant attention in both
academic and industrial research. Deep learning techniques have played a crucial role in …

Image-text matching plays an important role in solving the problem of cross-modal
information processing. Since there are nonnegligible semantic differences between …