Blueprint Separable Residual Network for Efficient Image Super-Resolution. (arXiv:2205.05996v1 [cs.CV])

Web: http://arxiv.org/abs/2205.05996

Recent advances in single image super-resolution (SISR) have achieved
extraordinary performance, but the computational cost is too heavy to apply in
edge devices. To alleviate this problem, many novel and effective solutions
have been proposed. Convolutional neural network (CNN) with the attention
mechanism has attracted increasing attention due to its efficiency and
effectiveness. However, there is still redundancy in the convolution operation.
In this paper, we propose Blueprint Separable Residual Network (BSRN)
containing two efficient designs. One is the usage …

arxiv cv image network