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SAR-EO Aerial View Images",
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@article{bb348452,
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        TITLE = "Zone-YOLO: Vision-Language Object Detection Using Zone Prompt",
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@article{bb348453,
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        TITLE = "Multi-Source Patch Feature Fusion With Neighborhood Flash Attention
Transformer for Pixel-Level Vehicle and Road Recognition in
Hyperspectral Image",
        JOURNAL = ITS,
        VOLUME = "26",
        YEAR = "2025",
        NUMBER = "10",
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        PAGES = "17386-17402",
        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog959.html#TT342708"}

@article{bb348454,
        AUTHOR = "Chen, Y. and Kou, W. and Yin, X. and Wang, R. and Ye, J.X. and Wang, Q.",
        TITLE = "Regional Forest Wildfire Mapping Through Integration of Sentinel-2
and Landsat 8 Data in Google Earth Engine with Semi-Automatic
Training Sample Generation",
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        TITLE = "A Frequency-Augmented CBAM Attention-Aided YOLOv8 for Object
Detection",
        BOOKTITLE = IPTA25,
        YEAR = "2025",
        PAGES = "1-6",
        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog959.html#TT342710"}

@inproceedings{bb348456,
        AUTHOR = "Yeghiazaryan, M. and Namburu, S.A.S. and Kim, E. and Panev, S. and de Melo, C. and de la Torre, F. and Hodgins, J.K.",
        TITLE = "Texture- and Shape-Based Adversarial Attacks for Overhead Image
Vehicle Detection",
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        YEAR = "2025",
        PAGES = "2133-2138",
        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog959.html#TT342711"}

@article{bb348457,
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        TITLE = "A Multi-Task Framework for Car Detection From High-Resolution UAV
Imagery Focusing on Road Regions",
        JOURNAL = ITS,
        VOLUME = "25",
        YEAR = "2024",
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        PAGES = "17160-17173",
        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog959.html#TT342712"}

@inproceedings{bb348458,
        AUTHOR = "Wang, Z.Y. and Liu, Z.W. and Xu, G. and Cheng, S.Y.",
        TITLE = "Object Detection in UAV Aerial Images Based on Improved YOLOv7-tiny",
        BOOKTITLE = CVIDL23,
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        PAGES = "370-374",
        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog959.html#TT342713"}

@inproceedings{bb348459,
        AUTHOR = "Wang, N. and Jia, Y.",
        TITLE = "Research on Vehicle Object Detection Based on Deep Learning",
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@inproceedings{bb348460,
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of Tiny Vehicles in Wide Area Motion Imagery (WAMI) Sequences",
        BOOKTITLE = EarthVision22,
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        PAGES = "1431-1440",
        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog959.html#TT342715"}

@inproceedings{bb348461,
        AUTHOR = "Wang, S. and Zhang, Y.H. and Perincherry, A. and Vora, A. and Li, H.D.",
        TITLE = "View Consistent Purification for Accurate Cross-View Localization",
        BOOKTITLE = ICCV23,
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@inproceedings{bb348462,
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Matching",
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@inproceedings{bb348463,
        AUTHOR = "Xia, Z.M. and Shi, Y.J. and Li, H.D. and Kooij, J.F.P.",
        TITLE = "Adapting Fine-grained Cross-view Localization to Areas Without Fine
Ground Truth",
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        YEAR = "2024",
        PAGES = "XXXI: 397-415",
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@inproceedings{bb348464,
        AUTHOR = "Wang, S. and Nguyen, C. and Liu, J.W. and Zhang, Y.H. and Muthu, S. and Maken, F.A. and Zhang, K.H. and Li, H.D.",
        TITLE = "View from Above: Orthogonal-View Aware Cross-View Localization",
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@inproceedings{bb348465,
        AUTHOR = "Shi, Y.J. and Yu, X. and Wang, S. and Li, H.D.",
        TITLE = "Cvlnet: Cross-view Semantic Correspondence Learning for Video-based
Camera Localization",
        BOOKTITLE = ACCV22,
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@inproceedings{bb348466,
        AUTHOR = "Shi, Y.J. and Li, H.D.",
        TITLE = "Beyond Cross-view Image Retrieval: Highly Accurate Vehicle
Localization Using Satellite Image",
        BOOKTITLE = CVPR22,
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@inproceedings{bb348467,
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        TITLE = "AirCamRTM: Enhancing Vehicle Detection for Efficient Aerial
Camera-based Road Traffic Monitoring",
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@inproceedings{bb348468,
        AUTHOR = "Yu, D.Y. and Zhang, R. and Qin, S.",
        TITLE = "Cascade Saliency Attention Network for Object Detection in Remote
Sensing Images",
        BOOKTITLE = ICPR21,
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@inproceedings{bb348469,
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        TITLE = "Rotation Invariant Aerial Image Retrieval with Group Convolutional
Metric Learning",
        BOOKTITLE = ICPR21,
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@inproceedings{bb348470,
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        TITLE = "DOTA: A Large-Scale Dataset for Object Detection in Aerial Images",
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@inproceedings{bb348471,
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@inproceedings{bb348472,
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        TITLE = "Vehicle Detection in High Resolution Image Based on Deep Learning",
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@inproceedings{bb348473,
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        TITLE = "Cross-View Contextual Relation Transferred Network for Unsupervised
Vehicle Tracking in Drone Videos",
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@inproceedings{bb348474,
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@inproceedings{bb348475,
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Micro Single-Object-Tracking CNNs",
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@inproceedings{bb348476,
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Vehicle Detection in Aerial Scenes",
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Imagery",
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@inproceedings{bb348478,
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UAV Imagery",
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@inproceedings{bb348479,
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Semantic Segmentation of Vehicles in Images From an Aerial
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@inproceedings{bb348480,
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Continuous Belief Representations",
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@inproceedings{bb348481,
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Scenes",
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@inproceedings{bb348483,
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@inproceedings{bb348484,
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High-Resolution Remote Sensing Images",
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@inproceedings{bb348487,
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@inproceedings{bb348496,
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@inproceedings{bb348497,
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@inproceedings{bb348499,
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