Jointly encoding grid and road trajectory expressions with cross-attention fusion outperforms single-view trajectory representation learning on three downstream tasks.
Tamer Özsu, and Vincent Oria
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Grid and Road Expressions Are Complementary for Trajectory Representation Learning
Jointly encoding grid and road trajectory expressions with cross-attention fusion outperforms single-view trajectory representation learning on three downstream tasks.