Search alternatives:
code detection » score detection (Expand Search), case detection (Expand Search), wide detection (Expand Search)
code detection » score detection (Expand Search), case detection (Expand Search), wide detection (Expand Search)
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Code snippet from “Apache Dubbo” GitHub project.
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.
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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UAV aerial image samples of insulator.
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.
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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Initialization Parameters Of Our Method.
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.
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.
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.
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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Dataset specifications.
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.
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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IoU and MPDIoU as bounding box losses.
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.
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. …”