Spatiotemporal attention mechanismFeature representationIn chemical processes, grasping the changing trend of critical parameters can help field operators take appropriate adjustments to eliminate potential fluctuations. Thus, deep networks, renowned for its revolutionary feature representation capability, have ...
1) the spatial-temporal attention mechanism 用来抓取动态的时序相关性,这是因为注意力机制可以获取nodes之间的动态相关性(dynamic correlation) (每个ST block里下面的蓝框) 2) the spatial-temporal convolution 利用图卷积神经网络抓取空间图案特征(spatial pattern)+ 标准卷积获取时序特征 (每个ST block里上面的蓝框...
the stateful LSTM module with an attention mechanism to learn the temporal order of the long-term sequences. The receptive field block efficiently increases the receptive field using dilated convolution layers and residual skip-connection, and it allows the model to learn spatiotemporal features from ...
Furthermore, we introduce a local graph attention mechanism to capture network-level spatial dependencies of trajectories, and a temporal attention mechanism with a sliding context window to capture both short- and long-term temporal dependencies in trajectory data. Extensive experiments based on two ...
This paper proposes a novel framework with spatiotemporal attention networks (STAN) for wind power forecasting. This model captures spatial correlations among wind farms and temporal dependencies of wind power time series. First of all, we employ a multi-head self-attention mechanism to extract ...
nonattention parts as a distance constraint for discriminative spatiotemporal attention learning. Specifically, we first introduce a novel attention-guided erasing mechanism in the traditional spatiotemporal attention to obtain multiple aggregated attention features and nonattention features and then learn to ...
Considering the emotional response mechanisms of different brain regions and the multi-channel and spatial characteristics of EEG signals, we introduce a channel spatio-temporal joint attention mechanism and embed it into the deep convolutional network structure built with residual blocks, achieving an ...
First, the analysis based on spatial data lacks attention to the perspective of individuals and groups. We will focus on the differences between different characteristic groups in different regions in future work. Second, in current period, the relationship between prevention policy and the development...
2. **multi-node vs multi-head**:相较于multi-head attention,模型提出的注意力模型没有使用scale dot-product操作,而是用累加和平均的方式,也就没有大幅压缩向量维度,保留信息更充分。 标签: lstm , attention mechanism , spatio-temporal graph , autonomous vehicle 好文要顶 关注我 收藏该文 微信分享 ...
Multi-modal spatiotemporal mapping of brain activity during visual spatial attention This paper proposes the prediction based occluded multitarget tracking method using spatio-temporal attention mechanism. To cope with occlusion between tar... GV Simpson,JW Belliveau,RJ Ilmoniemi,... 被引量: 4发表:...