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Real-Time Vehicle Make and Model Recognition with the Residual SqueezeNet Architecture
Make and model recognition (MMR) of vehicles plays an important role in automatic vision-based systems. This paper proposes a novel deep learning approach for MMR using the SqueezeNet architecture. The frontal views of vehicle images are first extracted and fed into a deep network for training and t...
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| Publié dans: | Sensors (Basel) |
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| Auteurs principaux: | , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI
2019
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6427723/ https://ncbi.nlm.nih.gov/pubmed/30813512 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19050982 |
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