Spatio Temporal Graph Convolutional Networks A
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Social-STGCNN: A Social Spatio-Temporal Graph ...
openaccess.thecvf.comover the spatio-temporal graph using a graph Convolutional Neural Networks (CNN)s and a temporal CNNs. This al-lows our model to predict the whole sequence in a single shot. Due to the above design, our model outperforms previ-ous models in terms of prediction accuracy, parameters size, inference speed and data efficiency. 2. Related work
Actional-Structural Graph Convolutional Networks for ...
openaccess.thecvf.com3.2. Spatio-Temporal GCN Spatio-temporalGCN(ST-GCN)[29]consistsofaseries of the ST-GCN blocks. Each block contains a spatial graph convolution followed by a temporal convolution, which al-ternatingly extracts spatial and temporal features. The last ST-GCN block is connected to a fully-connected classifier to generate final predictions.
![arXiv:1801.07455v2 [cs.CV] 25 Jan 2018](/cache/preview/c/1/f/1/b/a/a/5/thumb-c1f1baa5f6e090b207f4f18380d23ecd.jpg)
arXiv:1801.07455v2 [cs.CV] 25 Jan 2018
arxiv.orgtending graph neural networks to a spatial-temporal graph model, called Spatial-Temporal Graph Convolutional Net-works (ST-GCN). As illustrated in Figure 1 this model is formulated on top of a sequence of skeleton graphs, where each node corresponds to a joint of the human body. There are two types of edges, namely the spatial edges that con-