Cross-modal retrieval has recently drawn much attention due to the widespread existence of
multimodal data. It takes one type of data as the query to retrieve relevant data objects of …

Motivated by the fact that unlabeled data can be easily collected and help to exploit the
correlations among different modalities, this paper proposes a novel method named …

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 …

In order to exploit the abundant potential information of the unlabeled data and contribute to
analyzing the correlation among heterogeneous data, we propose the semi-supervised …

Cross-modal retrieval aims to retrieve relevant data from another modality when given a
query of one modality. Although most existing methods that rely on the label information of …

Cross-modal retrieval aims to enable flexible retrieval experience across different modalities
(eg, texts vs. images). The core of cross-modal retrieval research is to learn a common …

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 …

This paper proposes a novel method for cross-modal retrieval. In addition to the traditional
vector (text)-to-vector (image) framework, we adopt a matrix (text)-to-matrix (image) …

Cross-modal retrieval aims to retrieve the pertinent samples across different modalities,
which is important in numerous multimodal applications. It is challenging to correlate the …

Cross-modal retrieval has attracted much attention in recent years due to its widespread
applications. In this area, how to capture and correlate heterogeneous features originating …