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1 Ergebnisse
1
Image Super-resolution Reconstruction Using Recursive Resid..:
GUO Lin
;
LI Chen
;
CHEN Chen
...
http://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2021-8-139.pdf. , 2021
Link:
https://doi.org/10.11896/jsjkx.200500150
RT Journal T1 <Title>Image Super-resolution Reconstruction Using Recursive ResidualNetwork Based on ChannelAttention</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:1054fff1893e4e2fba0dab4fccf0f3e1&Exemplar=1&LAN=DE A1 GUO Lin A1 LI Chen A1 CHEN Chen A1 ZHAO Rui A1 FAN Shi-lin A1 XU Xing-yu PB Editorial office of Computer Science YR 2021 K1 super-resolution|deep learning|channel attention|residual network|skip connections K1 Computer software K1 QA76.75-76.765 K1 Technology (General) K1 T1-995 JF http://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2021-8-139.pdf LK http://dx.doi.org/https://doi.org/10.11896/jsjkx.200500150 DO https://doi.org/10.11896/jsjkx.200500150 SF ELIB - SuUB Bremen
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