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1 Ergebnisse
1
Exploring Structural Sparsity in Neural Image Compression:
, In:
2022 IEEE International Conference on Image Processing (ICIP)
,
Yin, Shanzhi
;
Li, Chao
;
Meng, Fanyang
... - p. 471-475 , 2022
Link:
https://doi.org/10.1109/ICIP46576.2022.9897508
RT T1 <cTitle>2022 IEEE International Conference on Image Processing (ICIP)</cTitle>: T1 <Title>Exploring Structural Sparsity in Neural Image Compression</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9897508&Exemplar=1&LAN=DE A1 Yin, Shanzhi A1 Li, Chao A1 Meng, Fanyang A1 Tan, Wen A1 Bao, Youneng A1 Liang, Yongsheng A1 Liu, Wei YR 2022 SN 2381-8549 K1 Training K1 Adaptation models K1 Image coding K1 Convolution K1 Computational modeling K1 Neural networks K1 Transform coding K1 neural image compression K1 structural sparsity K1 channel pruning SP 471 OP 475 LK http://dx.doi.org/https://doi.org/10.1109/ICIP46576.2022.9897508 DO https://doi.org/10.1109/ICIP46576.2022.9897508 SF ELIB - SuUB Bremen
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