Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Laigan Luo"'
Publikováno v:
IEEE Access, Vol 12, Pp 53818-53827 (2024)
Blind super-resolution (Blind SR) has become a popular research topic in computer vision in super-resolution, which aims to enhance low-resolution (LR) images with unknown or partially known degradation blur kernels. At present, most existing methods
Externí odkaz:
https://doaj.org/article/762efd943c9547e4912b6eb9ed2f925d
Publikováno v:
IEEE Access, Vol 9, Pp 21843-21858 (2021)
To reduce recovery cost of repairing multiple failed nodes, many repair schemes have been proposed for erasure codes based distributed storage systems. However, most of the existing researches ignore the network topology of storage devices. Motivated
Externí odkaz:
https://doaj.org/article/859d1e7f009a49b1aa83965d5eb0f2e5
Publikováno v:
IEEE Access, Vol 9, Pp 21843-21858 (2021)
To reduce recovery cost of repairing multiple failed nodes, many repair schemes have been proposed for erasure codes based distributed storage systems. However, most of the existing researches ignore the network topology of storage devices. Motivated
Publikováno v:
Journal of Electronic Imaging. 30
Few-shot image classification commits to recognizing new concepts from limited annotated samples. Our insight is to obtain a sufficiently powerful embedding network (PEN) to solve few-shot classification tasks. We propose a method to tackle the few-s
Distributed storage system (DSS) is an emerging paradigm which provides reliable storage services for various source data. As the fault-tolerance scheme for DSS, erasure codes are required to provide redundancy service with high fault-tolerance and l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16da98671b118b63be7e4d68477fcbc4
https://doi.org/10.21203/rs.3.rs-591678/v1
https://doi.org/10.21203/rs.3.rs-591678/v1
Publikováno v:
Computer Networks. 204:108714
Publikováno v:
ICNCC
It is important to reduce the computation complexity while maintaining the accuracy of convolution neural networks. We deem it is possible to further reduce the network complexity while ensuring the accuracy. In this paper, we propose a novel feature
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b60299a5c3787e205fb033dc5e8a9179