… Net based convolutional neural network, we propose a novel network (CS-Net) which includes
a self-attention … Two types of attention modules are utilized - spatial attention and channel …

… -Net [52] also introduced a Shuffle Attention to decrease the computational costs causing by
self-attention … In this work, we proposed an end-to-end network named CSHSNet for remote …

… U-nets with attention modules as the generator of the network, … channel-wise attention
in convolutional networks for image … attention network,” in ISBI 2019. IEEE, 2019, pp. 1622–1626. …

… Element-by-element computation in SEAB is redundant, so we design an efficient and
lightweight attention block named Simple-Attention Block (SIAB). SIAB converts the element-by-…

… attention network (HAN), which consists of a layer attention module (LAM) and a channel-spatial
attention … for discriminately abtaining feature information, \(F_{CS}\) denotes the filtered …

… Yang, “Maniqa: Multi-dimension attention network for no-reference image quality assessment,”
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (…

… As part of Reconstruction Net, AMP net is implemented by a … module (A CNN based network)
is utilized iteratively to improve … In the attention network, a CBAM based residual attention …

… attention mechanism. A residual attention network [35] is proposed with a spatial attention
… What’s more, GE [20] uses spatial attention to better exploit the feature context, and A2-Net […

… -attention while avoiding its shortcomings. Furthermore, we present a neural network based
on LKA, namely Visual Attention Network (… , QH ECA-net: Efficient channel attention for deep …

… The core modules in CS Net include an unsupervised … more attention to effective information
for summarization from the fine-grained perspective. Experimental results show that CS Net …