Abstract Information retrieval among different modalities becomes a significant issue with
many promising applications. However, inconsistent feature representation of various …

The cross-modal retrieval task has raised continuous attention in recent years with the
increasing scale of multi-modal data, which has broad application prospects including …

How to eliminate the semantic gap between multi-modal data and effectively fuse multi-
modal data is the key problem of cross-modal retrieval. The abstractness of semantics …

The purpose of cross-modal retrieval is to find the relationship between different modal
samples and to retrieve other modal samples with similar semantics by using a certain …

The completeness of semantic expression plays an important role in cross-modal retrieval
tasks, which contributes to align the cross-modal data and thus narrow the modality gap. But …

Cross-modal retrieval is an important multimedia research area which aims to take one type
of data as the query to retrieve relevant data of another type. Most of the existing methods …

Cross-modal retrieval takes one type of data as the query to retrieve relevant data of another
type. Most of existing cross-modal retrieval approaches were proposed to learn a common …

The main challenge of cross-modal retrieval is how to efficiently realize cross-modal
semantic alignment and reduce the heterogeneity gap. However, existing approaches either …

This paper proposes a novel deep framework of multi-networks joint learning for large-scale
cross-modal retrieval. For most existing cross-modal methods, the processes of training and …

Cross-modal retrieval (CMR) aims to retrieve the instances of a specific modality that are
relevant to a given query from another modality, which has drawn much attention because of …