Showing 201 - 220 results of 343 for search 'code detection algorithm', query time: 0.12s Refine Results
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    Code snippet from “Apache Dubbo” GitHub project. by Matthew Yit Hang Yeow (20721206)

    Published 2025
    “…Our approach uses cross-project code clone detection to establish the ground truth for software reuse, identifying code clones across popular GitHub projects as indicators of potential reuse candidates. …”
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    Structure of the Dynamic Downsampling module. by Xun Li (182737)

    Published 2025
    “…These results demonstrate the effectiveness of TLINet in addressing the complexities of insulator defect detection in power transmission lines. The code is available at <a href="https://github.com/mazilishang/TLINet" target="_blank">https://github.com/mazilishang/TLINet</a>.…”
  10. 210

    UAV aerial image samples of insulator. by Xun Li (182737)

    Published 2025
    “…These results demonstrate the effectiveness of TLINet in addressing the complexities of insulator defect detection in power transmission lines. The code is available at <a href="https://github.com/mazilishang/TLINet" target="_blank">https://github.com/mazilishang/TLINet</a>.…”
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    General framework of the proposed TLINet. by Xun Li (182737)

    Published 2025
    “…These results demonstrate the effectiveness of TLINet in addressing the complexities of insulator defect detection in power transmission lines. The code is available at <a href="https://github.com/mazilishang/TLINet" target="_blank">https://github.com/mazilishang/TLINet</a>.…”
  12. 212

    Initialization Parameters Of Our Method. by Xun Li (182737)

    Published 2025
    “…These results demonstrate the effectiveness of TLINet in addressing the complexities of insulator defect detection in power transmission lines. The code is available at <a href="https://github.com/mazilishang/TLINet" target="_blank">https://github.com/mazilishang/TLINet</a>.…”
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    Details of the five public datasets. by Xun Li (182737)

    Published 2025
    “…These results demonstrate the effectiveness of TLINet in addressing the complexities of insulator defect detection in power transmission lines. The code is available at <a href="https://github.com/mazilishang/TLINet" target="_blank">https://github.com/mazilishang/TLINet</a>.…”
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    YOLO11 network architecture. by Rui He (824726)

    Published 2025
    “…However, existing SAR ship detection algorithms encounter two major challenges: limited detection accuracy and high computational cost, primarily due to the wide range of target scales, indistinct contour features, and complex background interference. …”
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    Heatmap comparison on SSDD dataset. by Rui He (824726)

    Published 2025
    “…However, existing SAR ship detection algorithms encounter two major challenges: limited detection accuracy and high computational cost, primarily due to the wide range of target scales, indistinct contour features, and complex background interference. …”
  17. 217

    Dataset specifications. by Rui He (824726)

    Published 2025
    “…However, existing SAR ship detection algorithms encounter two major challenges: limited detection accuracy and high computational cost, primarily due to the wide range of target scales, indistinct contour features, and complex background interference. …”
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    CCFM module architecture. by Rui He (824726)

    Published 2025
    “…However, existing SAR ship detection algorithms encounter two major challenges: limited detection accuracy and high computational cost, primarily due to the wide range of target scales, indistinct contour features, and complex background interference. …”
  19. 219

    IoU and MPDIoU as bounding box losses. by Rui He (824726)

    Published 2025
    “…However, existing SAR ship detection algorithms encounter two major challenges: limited detection accuracy and high computational cost, primarily due to the wide range of target scales, indistinct contour features, and complex background interference. …”
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    Model complexity comparison in ablation study. by Rui He (824726)

    Published 2025
    “…However, existing SAR ship detection algorithms encounter two major challenges: limited detection accuracy and high computational cost, primarily due to the wide range of target scales, indistinct contour features, and complex background interference. …”