Results 1 to 10 of about 407 (177)

Quadruplet-Based Deep Cross-Modal Hashing. [PDF]

Comput Intell Neurosci, 2021
Recently, benefitting from the storage and retrieval efficiency of hashing and the powerful discriminative feature extraction capability of deep neural networks, deep cross‐modal hashing retrieval has drawn more and more attention. To preserve the semantic similarities of cross‐modal instances during the hash mapping procedure, most existing deep cross‐
Liu H, Xiong J, Zhang N, Liu F, Zou X.
europepmc   +3 more sources

A Framework for Enabling Unpaired Multi-Modal Learning for Deep Cross-Modal Hashing Retrieval [PDF]

Journal of Imaging, 2022
Cross-Modal Hashing (CMH) retrieval methods have garnered increasing attention within the information retrieval research community due to their capability to deal with large amounts of data thanks to the computational efficiency of hash-based methods. To
Mikel Williams-Lekuona, Georgina Cosma, Iain Phillips   +2 more
doaj   +2 more sources

Semantic embedding based online cross-modal hashing method [PDF]

Scientific Reports
Hashing has been extensively utilized in cross-modal retrieval due to its high efficiency in handling large-scale, high-dimensional data. However, most existing cross-modal hashing methods operate as offline learning models, which learn hash codes in a ...
Meijia Zhang, Junzheng Li, Xiyuan Zheng
doaj   +2 more sources

Cross-Modal Contrastive Hashing Retrieval for Infrared Video and EEG [PDF]

Sensors, 2022
It is essential to estimate the sleep quality and diagnose the clinical stages in time and at home, because they are closely related to and important causes of chronic diseases and daily life dysfunctions.
Jianan Han, Shaoxing Zhang, Aidong Men, Qingchao Chen   +3 more
doaj   +2 more sources

Text-Enhanced Graph Attention Hashing for Cross-Modal Retrieval [PDF]

Entropy
Deep hashing technology, known for its low-cost storage and rapid retrieval, has become a focal point in cross-modal retrieval research as multimodal data continue to grow.
Qiang Zou, Shuli Cheng, Anyu Du, Jiayi Chen   +3 more
doaj   +2 more sources

Flexible Cross-Modal Hashing [PDF]

IEEE Transactions on Neural Networks and Learning Systems, 2022
Hashing has been widely adopted for large-scale data retrieval in many domains due to its low storage cost and high retrieval speed. Existing cross-modal hashing methods optimistically assume that the correspondence between training samples across modalities is readily available. This assumption is unrealistic in practical applications.
Guoxian Yu, Xuanwu Liu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang   +4 more
openaire   +3 more sources

Online Semi-supervised Cross-modal Hashing Based on Anchor Graph Classification [PDF]

Jisuanji kexue, 2023
In recent years,hashing algorithm have been widely concerned in efficient cross-modal retrieval of large-scale multimedia data due to small storage costs and high retrieval speed.Most of the existing cross-modal hashing algorithms are supervised or ...
QIN Liang, XIE Liang, CHEN Shengshuang, XU Haijiao
doaj   +1 more source

Hierarchical semantic interaction-based deep hashing network for cross-modal retrieval [PDF]

PeerJ Computer Science, 2021
Due to the high efficiency of hashing technology and the high abstraction of deep networks, deep hashing has achieved appealing effectiveness and efficiency for large-scale cross-modal retrieval. However, how to efficiently measure the similarity of fine-
Shubai Chen, Song Wu, Li Wang
doaj   +2 more sources

Asymmetric Scalable Cross-Modal Hashing

2023 IEEE International Conference on Image Processing (ICIP), 2023
Cross-modal hashing is a successful method to solve large-scale multimedia retrieval issue. A lot of matrix factorization-based hashing methods are proposed. However, the existing methods still struggle with a few problems, such as how to generate the binary codes efficiently rather than directly relax them to continuity.
Li, Wenyun, Pun, Chi-Man
openaire   +3 more sources

Deep Label Feature Fusion Hashing for Cross-Modal Retrieval

IEEE Access, 2022
The rapid growth of multi-modal data in recent years has driven the strong demand for retrieving semantic-related data within different modalities. Therefore, cross-modal hashing has attracted extensive interest and studies due to its fast retrieval ...
Dongxiao Ren, Weihua Xu, Zhonghua Wang, Qinxiu Sun   +3 more
doaj   +1 more source