Spatial weightingLocal similarityWe focus on spatial attention weighting to improve feature representation power of convolutional neural networks (CNNs) and propose a concise and efficient spatial attention unit based on local similarity, which is termed Local Spatial Attention Module (LSAM). Spatial ...
Therefore, we propose a local global spatiotemporal attention network (LGA) to solve the above challenge. Specifically, we present a local spatial attention module to extract the spatial correlation of hourly, daily, and weekly periodic information. We propose a weight attention mechanism to assign ...
1、单一的non-local block加在较浅层次效果显著。reasonable。高层次丢失的信息太多了，找不到细小的远...
In order to strike a balance between performance and complexity, this paper proposes a lightweight Mixed Local Channel Attention (MLCA) module to improve the performance of the object detection network, and it can simultaneously incorporate both channel information and spatial information, as well as...
总的来说,DANet网络主要思想是CBAM 和 non-local 的融合变形。把deep feature map进行spatial-wise self-attention,同时也进行channel-wise self-attetnion,最后将两个结果进行 element-wise sum 融合。 在CBAM 分别进行空间和通道 self-attention的思想上,直接使用了 non-local 的自相关矩阵Matmul 的形式进行运算,...
We first design two branches using a parallel residual mixer (PRM) module and dilate convolution block to capture the local and global information of the image. At the same time, a SE-Block and a new spatial attention module enhance the output features. Considering the different output features...
proposedynamic searching querytoadaptively probe trajectory features for each motion mode. Each dynamic searching query is also theposition embedding of a spatial point, which is initialized with its corresponding intention pointbut will bedynamically updatedaccording to the predicted trajectory in each ...
【论文阅读】Further Non-local and Channel Attention Networks for Vehicle Re-identification visual cortex 提出了一种有效的注意力融合方法 ,充分模拟了空间注意力和信道注意力的影响。 Proposed method Then, we change the last spatial...问题: 类间差异小,类内差异大 提出:双分支自适应注意网络在视觉皮层双流...
A Bi-Stream hybrid model with MLPBlocks and self-attention mechanism for EEG-based emotion recognition A novel and effective model, BiSMSM, is proposed for EEG-based emotion recognition.BiSMSM can capture the useful information from temporal, spatial, local ... W Li,Y Tian,B Hou,... - 《...
Figure 3. Non-local attention module (NLAM) inserted between the 𝐿𝑡ℎ Lth and 𝐿+1𝑡ℎL+1th blocks of CNN. NLAM mainly includes two parts: (a) NLAM spatial attention; (b) NLAM channel attention. XX represents the feature maps output by the 𝐿𝑡ℎLth CNN block; ...