Lightweight Image Super-Resolution Reconstruction Based on Depthwise Separable Convolution

Image super-resolution reconstruction aims to reconstruct a high-resolution image close to the real image according to the low-resolution image.The existing image super-resolution reconstruction methods based on the Convolutional Neural Network(CNN) usually have problems such as large network parame...

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Xehetasun bibliografikoak
Egile nagusia:	LIU Cong, QU Dan, SI Nianwen, WEI Ziwei
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Editorial Office of Computer Engineering 2022-06-01
Saila:	Jisuanji gongcheng
Gaiak:	convolutional neural network(cnn)\|image super-resolution reconstruction\|lightweight network\|depthwise separable convolution\|attention mechanism
Sarrera elektronikoa:	https://www.ecice06.com/fileup/1000-3428/PDF/20220628.pdf
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!

Lightweight Image Super-Resolution Reconstruction Based on Depthwise Separable Convolution

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