DWSR: an architecture optimization framework for adaptive super-resolution neural networks based on...
DWSR: an architecture optimization framework for adaptive super-resolution neural networks based on meta-heuristics
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Dordrecht: Springer Netherlands
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English
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Dordrecht: Springer Netherlands
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Despite recent advancements in super-resolution neural network optimization, a fundamental challenge remains unresolved: as the number of parameters is reduced, the network’s performance significantly deteriorates. This paper presents a novel framework called the Depthwise Separable Convolution Super-Resolution Neural Network Framework (DWSR) for o...
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DWSR: an architecture optimization framework for adaptive super-resolution neural networks based on meta-heuristics
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TN_cdi_proquest_journals_2921236791
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2921236791
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ISSN
1573-7462,0269-2821
E-ISSN
1573-7462
DOI
10.1007/s10462-023-10648-4
