Multi-attention augmented network for single image super-resolution

Rui Chen; Heng Zhang; Jixin Liu

doi:10.1016/j.patcog.2021.108349

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Multi-attention augmented network for single image super-resolution

Rui Chen Heng Zhang Jixin Liu

Year: 2021 Journal: Pattern Recognition Vol: 122 Pages: 108349-108349 Publisher: Elsevier BV

DOI: 10.1016/j.patcog.2021.108349

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Keywords:

Computer science Discriminative model Artificial intelligence Convolutional neural network Orientation (vector space) Pattern recognition (psychology) Feature (linguistics) Construct (python library) Set (abstract data type) Computer vision Image (mathematics) Mathematics

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Advanced Image Processing Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Processing Techniques and Applications

Physical Sciences → Engineering → Media Technology

Multi-attention augmented network for single image super-resolution

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