Showing 2,101 - 2,120 results of 21,342 for search '(( significant decrease decrease ) OR ( significantly ((better decrease) OR (greater decrease)) ))', query time: 0.38s Refine Results
  1. 2101
  2. 2102

    S1 Fig - by Miki Doi (15347878)

    Published 2024
    Subjects:
  3. 2103
  4. 2104

    Fig 7 - by Keith Fraser (1868587)

    Published 2024
    Subjects:
  5. 2105
  6. 2106
  7. 2107
  8. 2108
  9. 2109

    Raw data. by Jia Zhu (135506)

    Published 2025
    Subjects:
  10. 2110
  11. 2111
  12. 2112
  13. 2113
  14. 2114
  15. 2115

    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%. …”
  16. 2116

    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%. …”
  17. 2117

    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%. …”
  18. 2118

    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%. …”
  19. 2119

    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%. …”
  20. 2120

    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%. …”