Results 11 to 20 of about 64,836 (247)
Cross-Modal Retrieval by Class Information and Listwise Ranking
Jisuanji kexue yu tansuo, 2021 Cross-modal retrieval has attracted significant attention due to the increasing use of multi-modal data. A major challenge for cross-modal retrieval is the modal gap. To cope with the heterogeneity, common subspace learning method is proposed.
LIU Yuping, GE Hong, ZENG Yibin
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Cross-Modal Fashion Search [PDF]
, 2016 In this demo we focus on cross-modal (visual and textual) e-commerce search within the fashion domain. Particularly, we demonstrate two tasks: (1) given a query image (without any accompanying text), we retrieve textual descriptions that correspond to the visual attributes in the visual query; and (2) given a textual query that may express an interest ...
Zoghbi, Susana +3 more
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Unsupervised Deep Relative Neighbor Relationship Preserving Cross-Modal Hashing
Mathematics, 2022 The image-text cross-modal retrieval task, which aims to retrieve the relevant image from text and vice versa, is now attracting widespread attention.
Xiaohan Yang +5 more
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Cross‐modal semantic correlation learning by Bi‐CNN network
IET Image Processing, 2021 Cross modal retrieval can retrieve images through a text query and vice versa. In recent years, cross modal retrieval has attracted extensive attention.
Chaoyi Wang +5 more
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Frontiers in Psychology, 2015 Experiencing a stimulus in one sensory modality is often associated with an experience in another sensory modality. For instance, seeing a lemon might produce a sensation of sourness.
Lionel eBrunel +2 more
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DA-GAN: Dual Attention Generative Adversarial Network for Cross-Modal Retrieval
Future Internet, 2022 Cross-modal retrieval aims to search samples of one modality via queries of other modalities, which is a hot issue in the community of multimedia. However, two main challenges, i.e., heterogeneity gap and semantic interaction across different modalities,
Liewu Cai +3 more
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Cross-Domain Statistical-Sequential Dependencies Are Difficult To Learn
Frontiers in Psychology, 2016 Recent studies have demonstrated participants’ ability to learn cross-modal associations during statistical learning tasks. However, these studies are all similar in that the cross-modal associations to be learned occur simultaneously, rather than ...
Anne McClure Walk, Christopher M. Conway
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Research Progress on Generative Adversarial Network in Cross-modal Medical Image Reconstruction
Xiehe Yixue Zazhi, 2023 Single-modal medical images contain limited disease-specific information. To analyze and diagnose patients, clinicians often need to integrate multiple modal images.
LI Zhuoyuan +5 more
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An Efficient Approach for Geo-Multimedia Cross-Modal Retrieval
IEEE Access, 2019 Due to the rapid development of mobile Internet techniques, such as online social networking and location-based services, massive amount of multimedia data with geographical information is generated and uploaded to the Internet. In this paper, we propose
Lei Zhu +5 more
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The State of the Art for Cross-Modal Retrieval: A Survey
IEEE Access, 2023 Cross-modal retrieval, which aims to search for semantically relevant data across different modalities, has received increasing attention in recent years.
Kun Zhou +2 more
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