A Training Dynamics-Aware Contrastive Learning Framework for Improving Long-Tail Trajectory Prediction in Autonomous Driving
A training dynamics-aware contrastive learning framework that leverages rich contextual information and clustering based on model learning behaviors to improve accuracy and scene compliance on long-tail trajectory prediction samples.