Abstract: Graph convolutional networks (GCNs) have achieved remarkable success in skeleton-based action recognition. However, most existing studies mainly rely on historical and current data in ...
A research team from the Songshan Lake Materials Laboratory has developed an AI-guided "Recommendation System" to discover ...
Abstract: By focusing on the structure exploration and information propagation from non-Euclidean data space, graph convolutional neural network (GCN), which can extract abundant and discriminative ...
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