Showing 3,301 - 3,320 results of 21,342 for search '(( significantly enhances decrease ) OR ( significant decrease decrease ))', query time: 0.53s Refine Results
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    MGPC module. by Bo Tong (2138632)

    Published 2025
    “…Experimental results indicate that at a pruning level of 1.5, mAP@0.5 and mAP@0.5:0.95 improved by 3.9% and 4.6%, respectively, while computational load decreased by 21% and parameter count dropped by 53%. …”
  5. 3305

    Comparative experiment. by Bo Tong (2138632)

    Published 2025
    “…Experimental results indicate that at a pruning level of 1.5, mAP@0.5 and mAP@0.5:0.95 improved by 3.9% and 4.6%, respectively, while computational load decreased by 21% and parameter count dropped by 53%. …”
  6. 3306

    Pruning experiment. by Bo Tong (2138632)

    Published 2025
    “…Experimental results indicate that at a pruning level of 1.5, mAP@0.5 and mAP@0.5:0.95 improved by 3.9% and 4.6%, respectively, while computational load decreased by 21% and parameter count dropped by 53%. …”
  7. 3307

    Parameter setting table. by Bo Tong (2138632)

    Published 2025
    “…Experimental results indicate that at a pruning level of 1.5, mAP@0.5 and mAP@0.5:0.95 improved by 3.9% and 4.6%, respectively, while computational load decreased by 21% and parameter count dropped by 53%. …”
  8. 3308

    DTADH module. by Bo Tong (2138632)

    Published 2025
    “…Experimental results indicate that at a pruning level of 1.5, mAP@0.5 and mAP@0.5:0.95 improved by 3.9% and 4.6%, respectively, while computational load decreased by 21% and parameter count dropped by 53%. …”
  9. 3309

    Ablation experiment. by Bo Tong (2138632)

    Published 2025
    “…Experimental results indicate that at a pruning level of 1.5, mAP@0.5 and mAP@0.5:0.95 improved by 3.9% and 4.6%, respectively, while computational load decreased by 21% and parameter count dropped by 53%. …”
  10. 3310

    Multi scale detection. by Bo Tong (2138632)

    Published 2025
    “…Experimental results indicate that at a pruning level of 1.5, mAP@0.5 and mAP@0.5:0.95 improved by 3.9% and 4.6%, respectively, while computational load decreased by 21% and parameter count dropped by 53%. …”
  11. 3311

    MFDPN module. by Bo Tong (2138632)

    Published 2025
    “…Experimental results indicate that at a pruning level of 1.5, mAP@0.5 and mAP@0.5:0.95 improved by 3.9% and 4.6%, respectively, while computational load decreased by 21% and parameter count dropped by 53%. …”
  12. 3312

    Detection effect of different sizes. by Bo Tong (2138632)

    Published 2025
    “…Experimental results indicate that at a pruning level of 1.5, mAP@0.5 and mAP@0.5:0.95 improved by 3.9% and 4.6%, respectively, while computational load decreased by 21% and parameter count dropped by 53%. …”
  13. 3313

    Radar chart comparing indicators. by Bo Tong (2138632)

    Published 2025
    “…Experimental results indicate that at a pruning level of 1.5, mAP@0.5 and mAP@0.5:0.95 improved by 3.9% and 4.6%, respectively, while computational load decreased by 21% and parameter count dropped by 53%. …”
  14. 3314

    MFD-YOLO structure. by Bo Tong (2138632)

    Published 2025
    “…Experimental results indicate that at a pruning level of 1.5, mAP@0.5 and mAP@0.5:0.95 improved by 3.9% and 4.6%, respectively, while computational load decreased by 21% and parameter count dropped by 53%. …”
  15. 3315

    Detection results of each category. by Bo Tong (2138632)

    Published 2025
    “…Experimental results indicate that at a pruning level of 1.5, mAP@0.5 and mAP@0.5:0.95 improved by 3.9% and 4.6%, respectively, while computational load decreased by 21% and parameter count dropped by 53%. …”
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