Fig. 6
From: Dual branch attention network for image super-resolution
The proposed convolutional channel feature mixer consists of a \(3\times 3\) convolution, a \(1\times 1\) convolution, and an activation function.
Fig. 6 | Scientific Reports
From: Dual branch attention network for image super-resolution
The proposed convolutional channel feature mixer consists of a \(3\times 3\) convolution, a \(1\times 1\) convolution, and an activation function.
