TEMPEST: Temporal Embeddings for Scalable Driver Identification via Angular Margin Learning
arXiv:2610.06855v1 Announce Type: new Abstract: Scalable driver identification requires embedding models that maintain discriminative performance as fleet size grows, yet existing triplet-loss formulations degrade rapidly with driver pool size and overfit to session-specific patterns under rigorous…
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- 2026-10-07 04:00 · arXiv cs.LG
TEMPEST: Temporal Embeddings for Scalable Driver Identification via Angular Margin Learning