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@inproceedings{bb353748,
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@inproceedings{bb353751,
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        TITLE = "UOW-Vessel: A Benchmark Dataset of High-Resolution Optical Satellite
Images for Vessel Detection and Segmentation",
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        YEAR = "2024",
        PAGES = "4416-4424",
        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog960sd1.html#TT347996"}

@article{bb353753,
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@inproceedings{bb353754,
        AUTHOR = "Fernandes, D.S. and Bispo, J. and Bento, L.C. and Figueiredo, M.",
        TITLE = "Enhancing Object Detection in Maritime Environments Using Metadata",
        BOOKTITLE = CIARP23,
        YEAR = "2023",
        PAGES = "II:76-89",
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        TITLE = "Transfer Learning for On-Orbit Ship Segmentation",
        BOOKTITLE = AI4Space22,
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@inproceedings{bb353756,
        AUTHOR = "Zhao, H. and Zhang, H. and Zhao, Y.Y.",
        TITLE = "YOLOv7-sea:
Object Detection of Maritime UAV Images based on Improved pYOLOv7",
        BOOKTITLE = Maritime23,
        YEAR = "2023",
        PAGES = "233-238",
        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog960sd1.html#TT348000"}

@inproceedings{bb353757,
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        TITLE = "Cross-level Attention and Ratio Consistency Network for Ship
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@inproceedings{bb353758,
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        TITLE = "Sea Situational Awareness (SeaSAw) Dataset",
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        YEAR = "2022",
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@inproceedings{bb353759,
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Deep Learning Models",
        BOOKTITLE = IVCNZ21,
        YEAR = "2021",
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@inproceedings{bb353760,
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        TITLE = "Size-invariant Detection of Marine Vessels From Visual Time Series",
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@inproceedings{bb353761,
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@inproceedings{bb353762,
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        TITLE = "Sea-land Segmentation of Infrared Remote Sensing Image Based on
Complex Background",
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@inproceedings{bb353763,
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        TITLE = "Automated Monitoring in Maritime Video Surveillance System",
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@inproceedings{bb353764,
        AUTHOR = "Wang, Y. and Cheng, H. and Zhou, X. and Luo, W. and Zhang, H.",
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@inproceedings{bb353765,
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        TITLE = "Dyfusion: Dynamic IR/RGB Fusion for Maritime Vessel Recognition",
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        YEAR = "2018",
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@inproceedings{bb353766,
        AUTHOR = "Aziz, K. and Bouchara, F.",
        TITLE = "Multimodal Deep Learning for Robust Recognizing Maritime Imagery in the
Visible and Infrared Spectrums",
        BOOKTITLE = ICIAR18,
        YEAR = "2018",
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@inproceedings{bb353767,
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        TITLE = "Automatic Ship Detection on Multispectral and Thermal Infrared Aerial
Images Using MACS-Mar Remote Sensing Platform",
        BOOKTITLE = "PSIVTWS17",
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@inproceedings{bb353768,
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@inproceedings{bb353769,
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resolution satellite images",
        BOOKTITLE = MultiTemp17,
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@inproceedings{bb353770,
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        TITLE = "MARVEL: A Large-Scale Image Dataset for Maritime Vessels",
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@inproceedings{bb353771,
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@inproceedings{bb353772,
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@inproceedings{bb353773,
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@inproceedings{bb353774,
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@article{bb353796,
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