Showing 1,481 - 1,500 results of 5,501 for search '(( significant decrease decrease ) OR ( significantly improved decrease ))~', query time: 0.50s Refine Results
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  14. 1494

    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%. …”
  15. 1495

    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%. …”
  16. 1496

    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%. …”
  17. 1497

    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%. …”
  18. 1498

    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%. …”
  19. 1499

    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%. …”
  20. 1500

    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%. …”