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1 Ergebnisse
1
Information-Growth Swin Transformer Network for Image Super..:
, In:
2022 IEEE International Conference on Image Processing (ICIP)
,
Ji, Yantao
;
Jiang, Peilin
;
Shi, Jingang
... - p. 3993-3997 , 2022
Link:
https://doi.org/10.1109/ICIP46576.2022.9897359
RT T1 <cTitle>2022 IEEE International Conference on Image Processing (ICIP)</cTitle>: T1 <Title>Information-Growth Swin Transformer Network for Image Super-Resolution</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9897359&Exemplar=1&LAN=DE A1 Ji, Yantao A1 Jiang, Peilin A1 Shi, Jingang A1 Guo, Yu A1 Zhang, Ruiteng A1 Wang, Fei YR 2022 SN 2381-8549 K1 Adaptation models K1 Current transformers K1 Superresolution K1 Benchmark testing K1 Feature extraction K1 Data mining K1 Image reconstruction K1 deep learning K1 super-resolution K1 Transformer SP 3993 OP 3997 LK http://dx.doi.org/https://doi.org/10.1109/ICIP46576.2022.9897359 DO https://doi.org/10.1109/ICIP46576.2022.9897359 SF ELIB - SuUB Bremen
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