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Showing 12,061 - 12,080 results of 22,792 for search '(( 2 step decrease ) OR ( 100 ((((nn decrease) OR (we decrease))) OR (a decrease)) ))', query time: 1.07s Refine Results
  1. 12061
    RFAConv working principle.

    RFAConv working principle. by Pingping Yan (462509)

    Published 2025
    “…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
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  2. 12062
    PConv working principle.

    PConv working principle. by Pingping Yan (462509)

    Published 2025
    “…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
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  3. 12063
    Improvement of SPPF to SPPF-R process.

    Improvement of SPPF to SPPF-R process. by Pingping Yan (462509)

    Published 2025
    “…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
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  4. 12064
    PR comparison on RSOD dataset.

    PR comparison on RSOD dataset. by Pingping Yan (462509)

    Published 2025
    “…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
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  5. 12065
    Ablation study on the RSOD dataset.

    Ablation study on the RSOD dataset. by Pingping Yan (462509)

    Published 2025
    “…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
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  6. 12066
    Structure and working principle of LI-YOLOv8.

    Structure and working principle of LI-YOLOv8. by Pingping Yan (462509)

    Published 2025
    “…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
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  7. 12067
    C2f-E improvement process.

    C2f-E improvement process. by Pingping Yan (462509)

    Published 2025
    “…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
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  8. 12068
    Structure of Detect and GP-Detect.

    Structure of Detect and GP-Detect. by Pingping Yan (462509)

    Published 2025
    “…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
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  9. 12069
    YOLOv8 structure and working principle.

    YOLOv8 structure and working principle. by Pingping Yan (462509)

    Published 2025
    “…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
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  10. 12070
    Improvement of CBS to CBR process.

    Improvement of CBS to CBR process. by Pingping Yan (462509)

    Published 2025
    “…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
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  11. 12071
    EMA attention mechanism working principle.

    EMA attention mechanism working principle. by Pingping Yan (462509)

    Published 2025
    “…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
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  12. 12072
    Ablation study on the NWPU VHR-10 dataset.

    Ablation study on the NWPU VHR-10 dataset. by Pingping Yan (462509)

    Published 2025
    “…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
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  13. 12073
    GSConv working principle.

    GSConv working principle. by Pingping Yan (462509)

    Published 2025
    “…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
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  14. 12074
    PR comparison on NWPU VHR-10 dataset.

    PR comparison on NWPU VHR-10 dataset. by Pingping Yan (462509)

    Published 2025
    “…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
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  15. 12075
    Variance of the medians of <i>p</i><sub><i>m</i></sub>/<i>p</i><sub><i>s</i></sub> with respect to the level of popularity of messages.

    Variance of the medians of <i>p</i><sub><i>m</i></sub>/<i>p</i><sub><i>s</i></sub> with respect to the level of popularity of messages. by Cangqi Zhou (813368)

    Published 2015
    “…The medians of the ratios, which are 4.654, 4.362, 3.898 and 3.100 respectively, decrease slightly as the level of popularity increases.…”
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  16. 12076
    Image_2_Next-Generation Camera Trapping: Systematic Review of Historic Trends Suggests Keys to Expanded Research Applications in Ecology and Conservation.TIFF

    Image_2_Next-Generation Camera Trapping: Systematic Review of Historic Trends Suggests Keys to Expanded Research Applications in Ecology and Conservation.TIFF by Zackary J. Delisle (10200560)

    Published 2021
    “…Notable compositional changes of topics included a decrease in capture-recapture, recent decrease in spatial-capture-recapture, and increases in occupancy, interspecific interactions, and automated image classification. …”
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  17. 12077
    Image_10_Next-Generation Camera Trapping: Systematic Review of Historic Trends Suggests Keys to Expanded Research Applications in Ecology and Conservation.TIFF

    Image_10_Next-Generation Camera Trapping: Systematic Review of Historic Trends Suggests Keys to Expanded Research Applications in Ecology and Conservation.TIFF by Zackary J. Delisle (10200560)

    Published 2021
    “…Notable compositional changes of topics included a decrease in capture-recapture, recent decrease in spatial-capture-recapture, and increases in occupancy, interspecific interactions, and automated image classification. …”
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  18. 12078
    Table_2_Next-Generation Camera Trapping: Systematic Review of Historic Trends Suggests Keys to Expanded Research Applications in Ecology and Conservation.docx

    Table_2_Next-Generation Camera Trapping: Systematic Review of Historic Trends Suggests Keys to Expanded Research Applications in Ecology and Conservation.docx by Zackary J. Delisle (10200560)

    Published 2021
    “…Notable compositional changes of topics included a decrease in capture-recapture, recent decrease in spatial-capture-recapture, and increases in occupancy, interspecific interactions, and automated image classification. …”
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  19. 12079
    Image_10_Next-Generation Camera Trapping: Systematic Review of Historic Trends Suggests Keys to Expanded Research Applications in Ecology and Conservation.TIFF

    Image_10_Next-Generation Camera Trapping: Systematic Review of Historic Trends Suggests Keys to Expanded Research Applications in Ecology and Conservation.TIFF by Zackary J. Delisle (10200560)

    Published 2021
    “…Notable compositional changes of topics included a decrease in capture-recapture, recent decrease in spatial-capture-recapture, and increases in occupancy, interspecific interactions, and automated image classification. …”
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  20. 12080
    Image_9_Next-Generation Camera Trapping: Systematic Review of Historic Trends Suggests Keys to Expanded Research Applications in Ecology and Conservation.TIFF

    Image_9_Next-Generation Camera Trapping: Systematic Review of Historic Trends Suggests Keys to Expanded Research Applications in Ecology and Conservation.TIFF by Zackary J. Delisle (10200560)

    Published 2021
    “…Notable compositional changes of topics included a decrease in capture-recapture, recent decrease in spatial-capture-recapture, and increases in occupancy, interspecific interactions, and automated image classification. …”
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    Saved in:

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