Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Jinghui Qin"'
Publikováno v:
Sensors, Vol 23, Iss 23, p 9575 (2023)
Traditional Convolutional Neural Network (ConvNet, CNN)-based image super-resolution (SR) methods have lower computation costs, making them more friendly for real-world scenarios. However, they suffer from lower performance. On the contrary, Vision T
Externí odkaz:
https://doaj.org/article/972bd1ee7e06445c99f4113af46358a8
Publikováno v:
IEEE Access, Vol 7, Pp 39660-39669 (2019)
In this paper, we introduce an automatic method for image quality enhancement. Our method relies on a multi-level connected generator and a pair-wise relativistic discriminator. Moreover, we also incorporate auxiliary loss functions to exhibit a high
Externí odkaz:
https://doaj.org/article/6e46b0f4058e4b1fb8ef6a4171fd60c1
Autor:
Jinghui Qin, Rumin Zhang
Publikováno v:
Neurocomputing. 500:846-855
Publikováno v:
IEEE Transactions on Multimedia. :1-13
Real-world image super-resolution is a practical image restoration problem that aims to obtain high-quality images from in-the-wild input, has recently received considerable attention with regard to its tremendous application potentials. Although dee
Publikováno v:
MultiMedia Modeling ISBN: 9783031278174
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8230f543019888ae1890f32aa8da04c
https://doi.org/10.1007/978-3-031-27818-1_4
https://doi.org/10.1007/978-3-031-27818-1_4
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
IEEE Transactions on Industrial Informatics. 17:8219-8229
As an auxiliary to the electricity market, the traditional frequency regulation market (FRM) lacks reliable data storage ways and direct transaction channels for buyers and sellers, and the cost-sharing method of frequency regulation (FR) service is
Publikováno v:
Journal of Environmental Chemical Engineering. 11:109830
Publikováno v:
AAAI
Target-guided open-domain conversation aims to proactively and naturally guide a dialogue agent or human to achieve specific goals, topics or keywords during open-ended conversations. Existing methods mainly rely on single-turn datadriven learning an
Publikováno v:
Neurocomputing. 379:334-342
We have witnessed great success of Single Image Super-Resolution (SISR) with convolutional neural networks (CNNs) in recent years. However, most existing Super-Resolution (SR) networks fail to utilize the multi-scale features of low-resolution (LR) i