SRefiner improves multi-agent trajectory prediction accuracy by using soft-braid attention that encodes closeness and motion at nearest trajectory and lane points.
Forecast-mae: Self-supervised pre-training for motion forecasting with masked autoencoders
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SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement
SRefiner improves multi-agent trajectory prediction accuracy by using soft-braid attention that encodes closeness and motion at nearest trajectory and lane points.