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Found 2 papers, 1 papers with code
ADAPT: Efficient Multi-Agent Trajectory Prediction with Adaptation
To address this challenge, we propose ADAPT, a novel approach for jointly predicting the trajectories of all agents in the scene with dynamic weight learning.
Trajectory Forecasting on Temporal Graphs
We complement our representation with two types of memory modules; one focusing on the agent of interest and the other on the entire scene.
Ranked #51 on
Motion Forecasting
on Argoverse CVPR 2020
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