Semi-supervised models for vehicle trajectory prediction significantly improve performance over supervised models on state-of-the-art real-world benchmarks . Moving from supervised to semi-supervisory models allows scaling-up by using unlabeled data, increasing the number of images in pre-training from Millions to a Billion… We perform ablation studies comparing transfer learning of semi-Supervised and supervised models while keeping all other factors equal . We compare contrastive learning with teacher-student methods as well as networks predicting a small number of trajectories with networks predicting probabilities over a large trajectory set .

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Keywords : supervised - models - semi - trajectory - learning -

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