A re-implementation of T-GNN, a framework for pedestrian trajectory prediction that addresses the performance decrease caused by distribution differences across different domains, by leveraging domain-invariant graph neural networks and adaptive knowledge learning.
☆14Jul 4, 2023Updated 2 years ago
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