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Titlebook: Computer Vision – ECCV 2018 Workshops; Munich, Germany, Sep Laura Leal-Taixé,Stefan Roth Conference proceedings 2019 Springer Nature Switze

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樓主: Monomania
21#
發(fā)表于 2025-3-25 05:27:06 | 只看該作者
22#
發(fā)表于 2025-3-25 07:53:49 | 只看該作者
23#
發(fā)表于 2025-3-25 13:46:53 | 只看該作者
Margarete Kohlenbach,Raymond Geussonents is helpful for the trade-off problem in super-resolution. The experimental results show that our proposed model has good performance for both perception and distortion, and is effective in perceptual super-resolution applications.
24#
發(fā)表于 2025-3-25 16:08:36 | 只看該作者
Margarete Kohlenbach,Raymond Geussmage than the original deep features. Using texture information, off-the-shelf deep classification networks (without training) perform as well as the best performing (tuned and calibrated) LPIPS metrics.
25#
發(fā)表于 2025-3-25 22:19:48 | 只看該作者
26#
發(fā)表于 2025-3-26 02:06:55 | 只看該作者
Factors associated with language impairment,ity and reduction in processing time of the proposed FEQE compared to the recent state-of-the-art methods. In the PIRM 2018 challenge, the proposed FEQE placed first on the image super-resolution task for mobile devices. The code is available at ..
27#
發(fā)表于 2025-3-26 07:46:29 | 只看該作者
Factors associated with language impairment,to improve the resolution of the spectral images. Each of the tracks and splits has been selected to be consistent across a number of image quality metrics. The dataset is quite general in nature and can be used for a wide variety of applications in addition to the development of spectral image super-resolution methods.
28#
發(fā)表于 2025-3-26 09:30:05 | 只看該作者
29#
發(fā)表于 2025-3-26 14:03:12 | 只看該作者
30#
發(fā)表于 2025-3-26 20:40:10 | 只看該作者
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