Showing 2,081 - 2,100 results of 21,342 for search '(( significant decrease decrease ) OR ( significant ((spatial decrease) OR (small decrease)) ))', query time: 0.64s 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%. …”
  11. 2091

    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%. …”
  12. 2092

    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%. …”
  13. 2093

    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%. …”
  14. 2094

    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%. …”
  15. 2095

    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%. …”
  16. 2096

    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%. …”
  17. 2097

    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%. …”
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