Results 11 to 20 of about 407 (177)
Multi-Label Weighted Contrastive Cross-Modal Hashing
Applied Sciences, 2023 Due to the low storage cost and high computation efficiency of hashing, cross-modal hashing has been attracting widespread attention in recent years. In this paper, we investigate how supervised cross-modal hashing (CMH) benefits from multi-label and ...
Zeqian Yi +5 more
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Proceedings of the AAAI Conference on Artificial Intelligence, 2023 Existing Cross Modal Hashing (CMH) methods are mainly designed for balanced data, while imbalanced data with long-tail distribution is more general in real-world. Several long-tail hashing methods have been proposed but they can not adapt for multi-modal data, due to the complex interplay between labels and individuality and commonality information of
Gao, Zijun +5 more
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Deep Multi-Semantic Fusion-Based Cross-Modal Hashing
Mathematics, 2022 Due to the low costs of its storage and search, the cross-modal retrieval hashing method has received much research interest in the big data era. Due to the application of deep learning, the cross-modal representation capabilities have risen markedly ...
Xinghui Zhu +3 more
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Fine-grained similarity semantic preserving deep hashing for cross-modal retrieval
Frontiers in Physics, 2023 Cross-modal hashing methods have received wide attention in cross-modal retrieval owing to their advantages in computational efficiency and storage cost.
Guoyou Li +4 more
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Unsupervised Deep Cross-modality Spectral Hashing [PDF]
IEEE Transactions on Image Processing, 2020 Accepted to IEEE Transaction on Image Processing (TIP) Add ...
Tuan Hoang +3 more
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Extensible Cross-Modal Hashing [PDF]
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019 Cross-modal hashing (CMH) models are introduced to significantly reduce the cost of large-scale cross-modal data retrieval systems. In many real-world applications, however, data of new categories arrive continuously, which requires the model has good extensibility.
Tian-yi Chen +4 more
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Cross-Modal Retrieval for CPSS Data
IEEE Access, 2020 Data generated and collected from Cyber-Physical-Social Systems (CPSS) that usually in the forms of image, audio, video, and text, are complex and heterogeneous.
Fangming Zhong +4 more
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Deep Semantic Cross Modal Hashing Based on Graph Similarity of Modal-Specific
IEEE Access, 2021 With the advantages of low storage cost and fast query speed, cross modal hashing has attracted increasing attention recently. However, most existing cross-modal hashing methods adopt the same measurement metric when processing data of different ...
Junzheng Li
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MESH: A Flexible Manifold-Embedded Semantic Hashing for Cross-Modal Retrieval
IEEE Access, 2020 Hashing based methods for cross-modal retrieval has been widely explored in recent years. However, most of them mainly focus on the preservation of neighborhood relationship and label consistency, while ignore the proximity of neighbors and proximity of ...
Fangming Zhong +3 more
doaj +1 more source
Fusion-Supervised Deep Cross-Modal Hashing [PDF]
2019 IEEE International Conference on Multimedia and Expo (ICME), 2019 Deep hashing has recently received attention in cross-modal retrieval for its impressive advantages. However, existing hashing methods for cross-modal retrieval cannot fully capture the heterogeneous multi-modal correlation and exploit the semantic information.
Wang, Li +4 more
openaire +2 more sources