Methods › Computer Vision › Trajectory Data Augmentation › SimAug
Simulation as Augmentation
SimAug
Introduced by Junwei Liang et al. in SimAug: Learning Robust Representations from 3D Simulation for Pedestrian Trajectory Prediction in Unseen Cameras
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
SimAug, or Simulation as Augmentation, is a data augmentation method for trajectory prediction. It augments the representation such that it is robust to the variances in semantic scenes and camera views. First, to deal with the gap between real and synthetic semantic scene, it represents each training trajectory by high-level scene semantic segmentation features, and defends the model from adversarial examples generated by whitebox attack methods. Second, to overcome the changes in camera views, it generates multiple views for the same trajectory, and encourages the model to focus on the “hardest” view to which the model has learned. The classification loss is adopted and the view with the highest loss is favored during training. Finally, the augmented trajectory is computed as a convex combination of the trajectories generated in previous steps. The trajectory prediction model is built on a multi-scale representation and the final model is trained to minimize the empirical vicinal risk over the distribution of augmented trajectories.
Papers archive 2025-07-28
4 shown of 4, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation 3 May 2025 · 1 repository · arXiv:2505.01695
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From Recognition to Prediction: Analysis of Human Action and Trajectory Prediction in Video 20 Nov 2020 · 4 repositories · arXiv:2011.10670
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SimAug: Learning Robust Representations from Simulation for Trajectory Prediction 1 Aug 2020 · 1 repository
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SimAug: Learning Robust Representations from 3D Simulation for Pedestrian Trajectory Prediction in Unseen Cameras 4 Apr 2020 · 1 repository · arXiv:2004.02022
Tasks archive 2025-07-28
11 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
Usage over time archive 2025-07-28
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Categories archive 2025-07-28
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