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 ...
This paper proposes the spatio-temporal attentive mechanism to track multiple objects, even occluded objects. The proposed system provides an efficient method for more complex analysis using data association in spatially attentive window and predicted te
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...
In addition, the traditional attention mechanism aims mostly to solve the attention problems in Euclidean space, and is not applicable in manifold space. To investigate these issues, we propose a spatial and temporal attention mechanism on Lie groups for 3D human action recognition. We build our ...
connectivity data; (2) to conduct spatial convolution of functional time series based on the functional connections of brain regions characterized by the brain functional network; (3) to design functional connectivity based attention mechanism for understanding the discriminative power of each brain ...
This mechanism assigns different attention weights to different neighbors of a node, which makes it adaptable to different graph topologies. The self-attention mechanism can improve the model's robustness and generalization ability.We conducted a comparison of our method with other state-of-the-art ...
To capture the non-homogeneous temporal dependence of the event on the past, we introduce a novel attention-based mechanism based on neural networks embedding for the point process model. To incorporate the directional spatial dependence induced by the road network, we adapt the "tail-up" model ...
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 ...
To address these issues, a novel Spatio-Temporal Car-Following model based on Graph Convolution Network and Attention mechanism is proposed to enhance the safety, efficiency, and comfort of autonomous driving systems. Firstly, the spatial–temporal structure of the car-following model is constructed ...
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 ...