Social-BiGAT is a graph-based generative adversarial network using GAT for social interaction features and Bicycle-GAN for multimodal outputs that reports state-of-the-art results on pedestrian trajectory forecasting benchmarks.
You’ll never walk alone: Modeling social behavior for multi-target tracking
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Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks
Social-BiGAT is a graph-based generative adversarial network using GAT for social interaction features and Bicycle-GAN for multimodal outputs that reports state-of-the-art results on pedestrian trajectory forecasting benchmarks.