Zobrazeno 1 - 10
of 157
pro vyhledávání: '"Hash learning"'
Publikováno v:
Shipin Kexue, Vol 45, Iss 10, Pp 1-8 (2024)
Food image retrieval, a major task in food computing, has garnered extensive attention in recent years. However, it faces two primary challenges. First, food images exhibit fine-grained characteristics, implying that visual differences between differ
Externí odkaz:
https://doaj.org/article/a71b0fbf635042e5abdf727c8ee6eef1
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-18 (2024)
Abstract The exponential growth of data raises an unprecedented challenge in data analysis: how to retrieve interesting information from such large-scale data. Hash learning is a promising solution to address this challenge, because it may bring many
Externí odkaz:
https://doaj.org/article/a05b0ee7599a4354a6eb2aaf7574e2e2
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 8662-8672 (2024)
Observing clouds to understand the weather is a crucial method for people to forecast upcoming conditions. Utilizing content-based satellite cloud image retrieval allows for the swift discovery of comparable historical cloud images, significantly aid
Externí odkaz:
https://doaj.org/article/20a69e7bfc0d47ee9a54ef131b74a3b8
Autor:
Kaixing Wu, Li Xu
Publikováno v:
IEEE Access, Vol 11, Pp 47956-47966 (2023)
With the advent of 5G technology, a large amount of video data will be generated and uploaded to the Internet every day, which makes it an urgent problem to effectively retrieve similar video content from massive video databases. However, most of the
Externí odkaz:
https://doaj.org/article/add4d9b4ea304e6abdfc07f4ba2919c1
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 2205-2220 (2023)
In recent years, cross-modal remote sensing image retrieval has attracted a lot of attention in remote sensing (RS) information processing. It is worth mentioning that land cover scenes, whether unimodal or cross-modal, are the primary research conte
Externí odkaz:
https://doaj.org/article/8c37f0b12e9641f0a2892b5d7a6227da
Publikováno v:
Jisuanji kexue, Vol 49, Iss 10, Pp 159-168 (2022)
In order to improve the performance of unsupervised hash learning and achieve robust hashing image retrieval,this paper proposes a novel robust hash learning method based on dual-teacher self-supervised distillation.Specifically,the proposed method c
Externí odkaz:
https://doaj.org/article/a6feee4370b14c28a2e460bd64a7c301
Akademický článek
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Akademický článek
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Publikováno v:
Jisuanji kexue, Vol 49, Iss 9, Pp 123-131 (2022)
Cross-media hashing has received extensive attention in cross-media searching tasks due to its superior searching efficiency and low storage cost.However,existing methods cannot adequately preserve the high-level semantic relevance and multi-label of
Externí odkaz:
https://doaj.org/article/262a9a7f88744e08a21a40aaac94ef58
Publikováno v:
Remote Sensing, Vol 16, Iss 1, p 90 (2023)
The effectiveness of hashing methods in big data retrieval has been proved due to their merit in computational and storage efficiency. Recently, encouraged by the strong discriminant capability of deep learning in image representation, various deep h
Externí odkaz:
https://doaj.org/article/640740daa26040bcb952308412a16fae