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TITLE = "Length Prediction of Moving Vehicles Using a Commercial FMCW Radar",
JOURNAL = ITS,
VOLUME = "23",
YEAR = "2022",
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PAGES = "14833-14845",
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AUTHOR = "Li, D.W. and Huang, H.",
TITLE = "Few-Shot Class-Incremental Learning via Compact and Separable
Features for Fine-Grained Vehicle Recognition",
JOURNAL = ITS,
VOLUME = "23",
YEAR = "2022",
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PAGES = "21418-21429",
BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f722vma1.html#TT190303"}
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AUTHOR = "Duan, J.X. and Wu, X. and Hu, Y. and Fu, C.Y. and Wang, Z. and He, R.",
TITLE = "Iterative embedding distillation for open world vehicle recognition",
JOURNAL = PR,
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AUTHOR = "Zhou, W. and Liu, Y.Q. and Wang, C. and Zhan, Y.F. and Dai, Y. and Wang, R.",
TITLE = "An Automated Learning Framework With Limited and Cross-Domain Data
for Traffic Equipment Detection from Surveillance Videos",
JOURNAL = ITS,
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YEAR = "2022",
NUMBER = "12",
MONTH = "December",
PAGES = "24891-24903",
BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f722vma1.html#TT190305"}
@article{bb194904,
AUTHOR = "Amirkhani, A. and Barshooi, A.H.",
TITLE = "DeepCar 5.0: Vehicle Make and Model Recognition Under Challenging
Conditions",
JOURNAL = ITS,
VOLUME = "24",
YEAR = "2023",
NUMBER = "1",
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PAGES = "541-553",
BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f722vma1.html#TT190306"}
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AUTHOR = "Wang, X.H. and Yang, S.Y. and Xiao, Y. and Zheng, X. and Gao, S. and Zhou, J.C.",
TITLE = "A vehicle classification model based on deep active learning",
JOURNAL = PRL,
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YEAR = "2023",
PAGES = "84-91",
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AUTHOR = "Wang, X.K. and Li, W.J. and Wu, Z.C.",
TITLE = "CarDD: A New Dataset for Vision-Based Car Damage Detection",
JOURNAL = ITS,
VOLUME = "24",
YEAR = "2023",
NUMBER = "7",
MONTH = "July",
PAGES = "7202-7214",
BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f722vma1.html#TT190308"}
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AUTHOR = "Li, Q.W. and Li, X.P. and Yao, H. and Liang, Z.H. and Xie, W.J.",
TITLE = "Automated Vehicle Identification Based on Car-Following Data With
Machine Learning",
JOURNAL = ITS,
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YEAR = "2023",
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MONTH = "December",
PAGES = "13893-13902",
BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f722vma1.html#TT190309"}
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AUTHOR = "Zhang, H.C. and Zhou, W. and Liu, G. and Wang, Z.X. and Qian, Z.D.",
TITLE = "Fine-Grained Vehicle Make and Model Recognition Framework Based on
Magnetic Fingerprint",
JOURNAL = ITS,
VOLUME = "25",
YEAR = "2024",
NUMBER = "8",
MONTH = "August",
PAGES = "8460-8472",
BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f722vma1.html#TT190310"}
@article{bb194909,
AUTHOR = "Liu, D.",
TITLE = "Progressive Multi-Task Anti-Noise Learning and Distilling Frameworks
for Fine-Grained Vehicle Recognition",
JOURNAL = ITS,
VOLUME = "25",
YEAR = "2024",
NUMBER = "9",
MONTH = "September",
PAGES = "10667-10678",
BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f722vma1.html#TT190311"}
@article{bb194910,
AUTHOR = "Ersoz, A.B. and Pekcan, O. and Akbas, E.",
TITLE = "AIDCON: An Aerial Image Dataset and Benchmark for Construction
Machinery",
JOURNAL = RS,
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BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f722vma1.html#TT190312"}
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AUTHOR = "Liu, X.W. and Li, Y.Q. and Sizemore, L. and Xie, X.H. and Wu, J.",
TITLE = "A Deep-Learning Approach to Detect and Classify Heavy-Duty Trucks in
Satellite Images",
JOURNAL = ITS,
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YEAR = "2024",
NUMBER = "10",
MONTH = "October",
PAGES = "13323-13338",
BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f722vma1.html#TT190313"}
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AUTHOR = "Kim, S. and Yoon, G.J. and Song, J. and Yoon, S.M.",
TITLE = "Scale-invariant mask-guided vehicle keypoint detection from a
monocular image",
JOURNAL = JVCIR,
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AUTHOR = "Peng, J. and Dong, S. and Yuan, H. and Zheng, X.",
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Dataset and Method",
JOURNAL = ITS,
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PAGES = "4717-4730",
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TITLE = "Vehicle Classification Based on Multi-Frequency Resistance and
Reactance Magnetic Profiles",
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PAGES = "5322-5331",
BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f722vma1.html#TT190316"}
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AUTHOR = "Marszalek, Z. and Hallo, F. and Rzepka, D. and Duda, K.",
TITLE = "Vehicle Classification Based on Multi-Frequency Impedance Magnetic
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