An Ensemble-Based Self-Taught Learning Approach for Parking Space Classification Under Limited Data

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arXiv:2609.03258v1 Announce Type: new Abstract: Parking spot classification is a fundamental task in intelligent transportation systems, yet most deep learning approaches rely on large amounts of annotated data and exhibit limited generalization across heterogeneous environments. To address these l…

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1. 2026-09-04 04:00 · arXiv cs.CV
   An Ensemble-Based Self-Taught Learning Approach for Parking Space Classification Under Limited Data