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vehicle type and colour classification",
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@article{bb154263,
        AUTHOR = "Hsieh, J.W. and Chen, L.C. and Chen, D.Y.",
        TITLE = "Symmetrical SURF and Its Applications to Vehicle Detection and
Vehicle Make and Model Recognition",
        JOURNAL = ITS,
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@article{bb154264,
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urban environments",
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        TITLE = "Vehicle Type Classification Using a Semisupervised Convolutional
Neural Network",
        JOURNAL = ITS,
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f722vma1.html#TT149981"}

@inproceedings{bb154266,
        AUTHOR = "Dong, Z. and Pei, M.T. and He, Y. and Liu, T. and Dong, Y.M. and Jia, Y.D.",
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@article{bb154267,
        AUTHOR = "Chen, L.C. and Hsieh, J.W. and Yan, Y.L. and Chen, D.Y.",
        TITLE = "Vehicle make and model recognition using sparse representation and
symmetrical SURFs",
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@inproceedings{bb154268,
        AUTHOR = "Hsieh, J.W. and Chen, L.C. and Chen, D.Y. and Cheng, S.C.",
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        TITLE = "Recognition of Car Makes and Models From a Single Traffic-Camera
Image",
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@article{bb154270,
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@article{bb154271,
        AUTHOR = "Boukerche, A. and Siddiqui, A.J. and Mammeri, A.",
        TITLE = "Automated Vehicle Detection and Classification: Models, Methods, and
Techniques",
        JOURNAL = Surveys,
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@article{bb154272,
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        TITLE = "A Probabilistic Approach to Improve the Accuracy of Axle-Based
Automatic Vehicle Classifiers",
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@article{bb154273,
        AUTHOR = "Fang, J. and Zhou, Y. and Yu, Y. and Du, S.",
        TITLE = "Fine-Grained Vehicle Model Recognition Using A Coarse-to-Fine
Convolutional Neural Network Architecture",
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@article{bb154274,
        AUTHOR = "Biglari, M. and Soleimani, A. and Hassanpour, H.",
        TITLE = "Part-based recognition of vehicle make and model",
        JOURNAL = IET-IPR,
        VOLUME = "11",
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@article{bb154275,
        AUTHOR = "Chen, L. and He, Y.H. and Fan, L.",
        TITLE = "Let the robot tell: Describe car image with natural language via LSTM",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f722vma1.html#TT149991"}

@article{bb154276,
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        TITLE = "Deep CNNs With Spatially Weighted Pooling for Fine-Grained Car
Recognition",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f722vma1.html#TT149992"}

@article{bb154277,
        AUTHOR = "Biglari, M. and Soleimani, A. and Hassanpour, H.",
        TITLE = "A Cascaded Part-Based System for Fine-Grained Vehicle Classification",
        JOURNAL = ITS,
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f722vma1.html#TT149993"}

@article{bb154278,
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transform",
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        NUMBER = "6",
        MONTH = "June",
        PAGES = "2035-2042",
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Localization",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f722vma1.html#TT149996"}

@article{bb154281,
        AUTHOR = "Wang, J.T. and Zheng, H. and Huang, Y. and Ding, X.H.",
        TITLE = "Vehicle Type Recognition in Surveillance Images From Labeled
Web-Nature Data Using Deep Transfer Learning",
        JOURNAL = ITS,
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        YEAR = "2018",
        NUMBER = "9",
        MONTH = "September",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f722vma1.html#TT149997"}

@article{bb154282,
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        TITLE = "Cost-Effective Vehicle Type Recognition in Surveillance Images With
Deep Active Learning and Web Data",
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@article{bb154283,
        AUTHOR = "Wei, J. and Liu, C.H. and Clouse, H.",
        TITLE = "Spectral Eigen Index: Military vehicle fingerprinting using Eigen
analysis in spectral domain",
        JOURNAL = PRL,
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        YEAR = "2018",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f722vma1.html#TT149999"}

@article{bb154284,
        AUTHOR = "Zaki, M.H. and Sayed, T.",
        TITLE = "Automated class identification of modes of travel in shared spaces:
A case study from India",
        JOURNAL = IET-ITS,
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f722vma1.html#TT150000"}

@article{bb154285,
        AUTHOR = "Rachmadi, R.F. and Uchimura, K. and Koutaki, G. and Ogata, K.",
        TITLE = "Single image vehicle classification using pseudo long short-term
memory classifier",
        JOURNAL = JVCIR,
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f722vma1.html#TT150001"}

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Bounding Boxes in Traffic Surveillance",
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        NUMBER = "1",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f722vma1.html#TT150002"}

@inproceedings{bb154287,
        AUTHOR = "Sochor, J. and Herout, A. and Havel, J.",
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Recognition",
        BOOKTITLE = CVPR16,
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f722vma1.html#TT150003"}

@article{bb154288,
        AUTHOR = "Wang, X.C. and Zhang, W.W. and Wu, X.C. and Xiao, L.Y. and Qian, Y.B. and Fang, Z.",
        TITLE = "Real-time vehicle type classification with deep convolutional neural
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        VOLUME = "16",
        YEAR = "2019",
        NUMBER = "1",
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        PAGES = "5-14",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f722vma1.html#TT150004"}

@article{bb154289,
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        TITLE = "Vehicle joint make and model recognition with multiscale attention
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f722vma1.html#TT150005"}

@article{bb154290,
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Model Recognition System",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f722vma1.html#TT150006"}

@article{bb154291,
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of Digital Images on Vehicle Classification",
        JOURNAL = ITS,
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        NUMBER = "3",
        MONTH = "March",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f722vma1.html#TT150007"}

@inproceedings{bb154292,
        AUTHOR = "Elkerdawy, S. and Ray, N. and Zhang, H.",
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Co-occurrence Learning",
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@article{bb154293,
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Frontal Images of Vehicles",
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        MONTH = "May",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f722vma1.html#TT150009"}

@article{bb154294,
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@article{bb154295,
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        TITLE = "Multi-View Vehicle Type Recognition With Feedback-Enhancement
Multi-Branch CNNs",
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@article{bb154296,
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@article{bb154297,
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on Ensemble Classifiers",
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@article{bb154298,
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Vehicle Classification from Rear View Videos",
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@article{bb154299,
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Feature Learning",
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