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Vehicle Re-Identification Based on Ensembling Deep Learning Features Including a Synthetic Training Dataset, Orientation and Background Features, and Camera Verification.

Marta FernandezPaula MoralÁlvaro García-MartínJosé M. Martínez
Published in: CVPR Workshops (2021)
Keyphrases
  • deep learning
  • feature vectors
  • image features
  • unsupervised feature learning
  • feature space
  • feature extraction
  • model selection
  • training dataset
  • training data
  • training set
  • co occurrence
  • unsupervised learning