… image super-resolution reconstruction method using attention mechanism with feature map
is designed to perform the super-resolution reconstruction of color images at different scales…

… a CT image super-resolution network is proposed based on hybrid attention mechanism and
global feature … Considering that the size of the initial feature map decreases when the down-…

… attention mechanism residual block added in this paper is mainly for the restoration of
high-frequency features, and the image … , ‘‘Infrared image super resolution reconstruction based …

… , especially Single Image Super-Resolution (SISR), has been widely used in the field of …
In order to better fuse the feature map information, we design a Densely connected Channel …

… However, deep learning medical image super-resolution reconstruction methods can … dual
residual attention mechanism that allows the network to re-check the extracted feature maps, …

… image super-resolution (SISR) methods of generative adversarial networks (GAN), which can
reconstruct visually realistic images… j) value based on the coordinates on the c feature map. …

… face image super-resolution reconstruction method based on … self-attention mechanism is
applied to the feature extraction … global features to further refine obtained feature maps, a self-…

… remarkable advances in single image super-resolution (SISR) … attention mechanisms in SISR
and show that not all attention … We visualize some feature maps and attention maps in Fig. 2…

… of information from the feature map to reconstruct a more elaborate super-resolution … [47]
proposed a Second-order Attention Neural network (SAN) for image super-resolution. It is …

… infrared images, infrared images that are reconstructed based on … into image super-resolution
reconstruction and proposed … attention mechanisms all treat the extracted feature maps …