[ICDE2023] A PyTorch implementation of Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics Framework (START).
-
Updated
Apr 5, 2024 - Python
[ICDE2023] A PyTorch implementation of Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics Framework (START).
Learning trajectory representations using self-supervision and programmatic supervision.
Calculate invariant trajectory representations from trajectory data and generate new trajectories from the invariants.
Add a description, image, and links to the trajectory-representation topic page so that developers can more easily learn about it.
To associate your repository with the trajectory-representation topic, visit your repo's landing page and select "manage topics."