Second-Order Attention Network for Single Image Super-Resolution
Recently, deep convolutional neural networks (CNNs) have been widely explored in single image super-resolution (SISR) and obtained remarkable performance. However, most of the e...
Publications
View AllToward Convolutional Blind Denoising of Real Photographs
While deep convolutional neural networks (CNNs) have achieved impressive success in image denoising with additive white Gaussian noise (AWGN), their performance remains limited ...
Global Second-Order Pooling Convolutional Networks
Deep Convolutional Networks (ConvNets) are fundamental to, besides large-scale visual recognition, a lot of vision tasks. As the primary goal of the ConvNets is to characterize ...
Institution Info
- Type
- company
- Country
- KY
- Publications
- 3
- Citations
- 3,357
External Links
Identifiers
- ROR
- https://ror.org/00mnrxf72