Zobrazeno 1 - 10
of 106
pro vyhledávání: '"Kaibing Zhang"'
Publikováno v:
Electronic Research Archive, Vol 32, Iss 7, Pp 4517-4542 (2024)
Hyperspectral image super-resolution (SR) aims to enhance the spectral and spatial resolution of remote sensing images, enabling more accurate and detailed analysis of ground objects. However, hyperspectral images have high dimensional characteristic
Externí odkaz:
https://doaj.org/article/c39ac57c95e04fd09e9418e172c6a740
Autor:
Yunpeng Yu, Zhiao Yu, Wei Xu, Kaibing Zhang, Yuneng Tang, Guojian Cheng, Xiang He, Baiqian Dai
Publikováno v:
ACS Omega, Vol 9, Iss 12, Pp 14455-14464 (2024)
Externí odkaz:
https://doaj.org/article/472b8e81cadf4b8692342fb69ea509ec
Publikováno v:
IET Information Security, Vol 2024 (2024)
Two-party private set intersection (PSI) plays a pivotal role in secure two-party computation protocols. The communication cost in a PSI protocol is normally influenced by the sizes of the participating parties. However, for parties with unbalanced s
Externí odkaz:
https://doaj.org/article/b91a8e950f3d49068d3525a9047b9ebd
Publikováno v:
Electronics Letters, Vol 59, Iss 24, Pp n/a-n/a (2023)
Abstract In this letter, we developed novel Structure Enhanced Channel Attention Network (SECANet) for scene text image super‐resolution (STISR). The newly proposed SECANet integrates a group of Structure‐Enhanced Attention Modules to focus more
Externí odkaz:
https://doaj.org/article/37f925c409cf4cdf8a10c419a0959013
Publikováno v:
Applied Sciences, Vol 14, Iss 2, p 938 (2024)
Defect detection holds significant importance in improving the overall quality of fabric manufacturing. To improve the effectiveness and accuracy of fabric defect detection, we propose the PRC-Light YOLO model for fabric defect detection and establis
Externí odkaz:
https://doaj.org/article/81080dd69c214af9b0c29d4f6b6f37ce
Publikováno v:
Electronics Letters, Vol 59, Iss 10, Pp n/a-n/a (2023)
Abstract Both global dependency and local correlation are crucial for solving the scale variation of crowd. However, most of previous methods fail to take two factors into consideration simultaneously. Against the aforementioned issue, a deformable c
Externí odkaz:
https://doaj.org/article/587e51c7686e480183bc869d6552ea43
Publikováno v:
Xi'an Gongcheng Daxue xuebao, Vol 35, Iss 6, Pp 104-113 (2021)
In terms of crowd counting methods, usually a large number of labeled samples were meeded to train a counting model. In practical applications, to solve the problem of high cost and low efficiency of manually labeling samples, a new sample labeling m
Externí odkaz:
https://doaj.org/article/aa1f5a4bdeab4a569abfbfe1927e52b7
Publikováno v:
IET Image Processing, Vol 15, Iss 12, Pp 2841-2853 (2021)
Abstract Face hallucination is a super‐resolution technique specially designed to reconstruct high‐resolution faces from low‐resolution faces. Most state‐of‐the‐art algorithms leverage position‐patch prior knowledge of human faces to be
Externí odkaz:
https://doaj.org/article/00012910a94545fbb132348821d198c5
Publikováno v:
Xi'an Gongcheng Daxue xuebao, Vol 35, Iss 4, Pp 55-70 (2021)
Object recognition is one of the main contents of machine vision research. RGB-D image, which integrates depth features, provides a new way for accuracy improving of object recognition. In order to obtain its complete summary of many achievements in
Externí odkaz:
https://doaj.org/article/421b048233cb4b398eb23b27b4fd2e89
Autor:
Chen CUI, Kaibing ZHANG
Publikováno v:
Xi'an Gongcheng Daxue xuebao, Vol 35, Iss 2, Pp 66-72 (2021)
In this paper, a super-resolution (SR) method through an internal and external dictionary-based regularization was proposed for improving the resolution of single low-resolution (LR) image. Firstly, the input was divided into several similar groups,
Externí odkaz:
https://doaj.org/article/b8c317b3103d4af49750c73c140ad5f4