Attention augmented multi-scale network for single image super-resolution

Chengyi Xiong; Xiaodi Shi; Zhirong Gao; Ge Wang

doi:10.1007/s10489-020-01869-z

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Attention augmented multi-scale network for single image super-resolution

Chengyi Xiong Xiaodi Shi Zhirong Gao Ge Wang

Year: 2020 Journal: Applied Intelligence Vol: 51 (2)Pages: 935-951 Publisher: Springer Science+Business Media

DOI: 10.1007/s10489-020-01869-z

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Keywords:

Computer science Pooling Feature (linguistics) Artificial intelligence Pattern recognition (psychology) Convolution (computer science) Convolutional neural network Set (abstract data type) Scale (ratio) Image (mathematics) Artificial neural network Representation (politics) Machine learning Data mining

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Advanced Image Processing Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image Fusion Techniques

Physical Sciences → Engineering → Media Technology

Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Attention augmented multi-scale network for single image super-resolution

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