Improved differentiable neural architecture search for single image super-resolution

• Published in: Peer-to-peer networking and applications Vol. 14; no. 3; pp. 1806 - 1815
• Main Authors: Weng, Yu, Chen, Zehua, Zhou, Tianbao
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.05.2021; Springer Nature B.V
• Subjects: Algorithms; Communications Engineering; Computer Communication Networks; Convolution; Datasets; Engineering; Image resolution; Information Systems and Communication Service; Machine learning; Networks; Redesign; Searching; Signal,Image and Speech Processing; Special Issue on P2P Computing for Deep Learning; DARTS; SISR; Convolution cell; Nonlinear mapping part

Deep learning has shown prominent superiority over other machine learning algorithms in Single Image Super-Resolution (SISR). In order to reduce the efforts and resources cost on manually designing deep architecture, we use differentiable neural architecture search (DARTS) on SISR. Since neural arch...