Results 21 to 30 of about 407 (177)
Object Feature Based Deep Hashing for Cross-Modal Retrieval
Jisuanji kexue yu tansuo, 2021 With the rapid growth of data with different modalities on the Internet, cross-modal retrieval has gradually become a hot research topic. Due to its efficiency and effectiveness, Hashing based methods have become one of the most popular large-scale cross-
ZHU Jie, BAI Hongyu, ZHANG Zhongyu, XIE Bojun, ZHANG Junsan
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Hetero-Manifold Regularisation for Cross-Modal Hashing [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018 Recently, cross-modal search has attracted considerable attention but remains a very challenging task because of the integration complexity and heterogeneity of the multi-modal data. To address both challenges, in this paper, we propose a novel method termed hetero-manifold regularisation (HMR) to supervise the learning of hash functions for efficient ...
Feng Zheng, Yi Tang, Ling Shao
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Elegant Unsupervised Cross-Modal Hashing [PDF]
, 2021 <div><p>Unsupervised cross-modal retrieval has received increasing attention recently, because of the extreme difficulty of labeling the explosive multimedia data. The core challenge of it is how to measure the similarities between multi-modal data without label information.
Zhikai Hu, Yiu-ming Cheung
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Object-Level Visual-Text Correlation Graph Hashing for Unsupervised Cross-Modal Retrieval
Sensors, 2022 The core of cross-modal hashing methods is to map high dimensional features into binary hash codes, which can then efficiently utilize the Hamming distance metric to enhance retrieval efficiency.
Ge Shi, Feng Li, Lifang Wu, Yukun Chen
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Cross-Modal Hashing by
IEEE Access, 2021 With the explosion of multi-modal Web data, effective and efficient techniques are in urgent need for cross-modal data retrieval with relevant semantics.
Dongxiao Ren +3 more
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Discrete Semantics-Guided Asymmetric Hashing for Large-Scale Multimedia Retrieval
Applied Sciences, 2021 Cross-modal hashing technology is a key technology for real-time retrieval of large-scale multimedia data in real-world applications. Although the existing cross-modal hashing methods have achieved impressive accomplishment, there are still some ...
Jun Long +3 more
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Unsupervised Cross-Modal Hashing Based on Feature Fusion [PDF]
Jisuanji gongcheng, 2023 Most of the Unsupervised Cross-Modal Hashing(UCMH) methods focus on the construction of a similarity matrix from the pre-extracted features and the structure control of the common representation space.However, two critical problems need to be addressed ...
LIANG Tianyou, MENG Min, WU Jigang
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2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 Due to its low storage cost and fast query speed, cross-modal hashing (CMH) has been widely used for similarity search in multimedia retrieval applications. However, almost all existing CMH methods are based on hand-crafted features which might not be optimally compatible with the hash-code learning procedure.
Jiang, Qing-Yuan, Li, Wu-Jun
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Cross-Modal Deep Variational Hashing [PDF]
2017 IEEE International Conference on Computer Vision (ICCV), 2017 In this paper, we propose a cross-modal deep variational hashing (CMDVH) method for cross-modality multimedia retrieval. Unlike existing cross-modal hashing methods which learn a single pair of projections to map each example as a binary vector, we design a couple of deep neural network to learn non-linear transformations from image-text input pairs ...
Liong, Venice Erin +3 more
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Cross-modal Zero-shot Hashing [PDF]
2019 IEEE International Conference on Data Mining (ICDM), 2019 Hashing has been widely studied for big data retrieval due to its low storage cost and fast query speed. Zero-shot hashing (ZSH) aims to learn a hashing model that is trained using only samples from seen categories, but can generalize well to samples of unseen categories.
Liu, Xuanwu +5 more
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