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Understanding the Role of Pathways in a Deep Neural Network
Deep neural networks have demonstrated superior performance in artificial intelligence applications, but the opaqueness of their inner working mechanism is one major drawback in their application.
Skeleton-based Action Recognition through Contrasting Two-Stream Spatial-Temporal Networks
For this, we propose a novel Contrastive GCN-Transformer Network (ConGT) which fuses the spatial and temporal modules in a parallel way.
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