Cross‐modal retrieval based on deep regularized hashing constraints
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22853
Abstract: Cross‐modal retrieval has attracted great attention due to the increasing demand for tremendous amounts of multimodal data in recent years. These retrievals could either be text‐to‐image or image‐to‐text. To address the problem of inappropriate information… read more here.
Keywords: deep regularized; cross modal; modal retrieval; regularized hashing ... See more keywords
Semantic consistent adversarial cross-modal retrieval exploiting semantic similarity
Sign Up to like & getrecommendations! Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-7343-8
Abstract: Cross-modal retrieval aims to search the semantically similar instances from the other modalities given a query from one modality. However, the differences of the distributions and representations between different modalities make that the similarity of… read more here.
Keywords: different modalities; semantic similarity; similarity; cross modal ... See more keywords
Multi-level Alignment Network for Domain Adaptive Cross-modal Retrieval
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.01.114
Abstract: Abstract Cross-modal retrieval is an important but challenging research task in the multimedia community. Most existing works of this task are supervised, which typically train models on a large number of aligned image-text/video-text pairs, making… read more here.
Keywords: retrieval; alignment; cross modal; cross ... See more keywords
Semantic Consistency Cross-Modal Retrieval With Semi-Supervised Graph Regularization
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DOI: 10.1109/access.2020.2966220
Abstract: Most of the existing cross-modal retrieval methods make use of labeled data to learn projection matrices for different modal data. These methods usually learn the original semantic space to bridge the heterogeneous gap, ignoring the… read more here.
Keywords: semantic consistency; cross modal; modal retrieval;
An Orthogonal Subspace Decomposition Method for Cross-Modal Retrieval
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Intelligent Systems"
DOI: 10.1109/mis.2022.3169884
Abstract: As a general characteristic observed in the real-world datasets, multimodal data are usually partially associated, which comprise the commonly shared information across modalities (i.e., modality-shared information) and the specific information only exists in a single… read more here.
Keywords: information; modality; cross modal; modal retrieval ... See more keywords
Deep Multigraph Hierarchical Enhanced Semantic Representation for Cross-Modal Retrieval
Sign Up to like & getrecommendations! Published in 2022 at "IEEE MultiMedia"
DOI: 10.1109/mmul.2022.3144138
Abstract: 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 ignore the multigrained semantic knowledge learning from different modalities, or fail to… read more here.
Keywords: deep multigraph; cross modal; modal retrieval; cross ... See more keywords
Deep Supervised Dual Cycle Adversarial Network for Cross-Modal Retrieval
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3203247
Abstract: Cross-modal retrieval tasks, which are more natural and challenging than traditional retrieval tasks, have attracted increasing interest from researchers in recent years. Although different modalities with the same semantics have some potential relevance, the feature… read more here.
Keywords: cross; common space; cross modal; modal retrieval ... See more keywords
Learning Discriminative Binary Codes for Large-scale Cross-modal Retrieval
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2017.2676345
Abstract: Hashing based methods have attracted considerable attention for efficient cross-modal retrieval on large-scale multimedia data. The core problem of cross-modal hashing is how to learn compact binary codes that construct the underlying correlations between heterogeneous… read more here.
Keywords: binary codes; large scale; cross modal; modal retrieval ... See more keywords
Generalized Semantic Preserving Hashing for Cross-Modal Retrieval
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2018.2863040
Abstract: Cross-modal retrieval is gaining importance due to the availability of large amounts of multimedia data. Hashing-based techniques provide an attractive solution to this problem when the data size is large. For cross-modal retrieval, data from… read more here.
Keywords: generalized semantic; cross modal; modal retrieval;
Cycle-Consistent Deep Generative Hashing for Cross-Modal Retrieval
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2018.2878970
Abstract: In this paper, we propose a novel deep generative approach to cross-modal retrieval to learn hash functions in the absence of paired training samples through the cycle consistency loss. Our proposed approach employs adversarial training… read more here.
Keywords: cycle; cross modal; deep generative; cross ... See more keywords
Weakly-Supervised Enhanced Semantic-Aware Hashing for Cross-Modal Retrieval
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2022.3172216
Abstract: Owing to its query and storage efficiency, hash learning has sparked much interest for Cross-Modal Retrieval (CMR) task. Previous literatures have proved the superiority of supervised Cross-Modal Hashing (CMH) methods over unsupervised ones. Nevertheless, most… read more here.
Keywords: semantic aware; enhanced semantic; cross modal; modal retrieval ... See more keywords