Showing 1,781 - 1,800 results of 21,342 for search '(( significant decrease decrease ) OR ( significantly ((better decrease) OR (greatest decrease)) ))', query time: 0.63s Refine Results
  1. 1781

    Fig 7 - by Keith Fraser (1868587)

    Published 2024
    Subjects:
  2. 1782
  3. 1783
  4. 1784
  5. 1785
  6. 1786

    Raw data. by Jia Zhu (135506)

    Published 2025
    Subjects:
  7. 1787
  8. 1788
  9. 1789
  10. 1790
  11. 1791
  12. 1792

    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%. …”
  13. 1793

    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%. …”
  14. 1794

    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%. …”
  15. 1795

    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%. …”
  16. 1796

    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%. …”
  17. 1797

    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%. …”
  18. 1798

    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%. …”
  19. 1799

    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%. …”
  20. 1800

    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%. …”