SceneSelect discovers latent scene categories via clustering, trains a classifier to assign inputs, and dispatches to expert trajectory predictors, reporting 10.5% average gains over single-model and ensemble baselines on ETH-UCY, SDD, and NBA.
IEEE Transactions on Circuits and Systems for Video Tech- nology 31(5), 1764–1775 (2020) SceneSelect: Selective Learning for Trajectory Prediction 11
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SceneSelect: Selective Learning for Trajectory Scene Classification and Expert Scheduling
SceneSelect discovers latent scene categories via clustering, trains a classifier to assign inputs, and dispatches to expert trajectory predictors, reporting 10.5% average gains over single-model and ensemble baselines on ETH-UCY, SDD, and NBA.