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Showing 19,861 - 19,880 results of 65,898 for search '(( 5 we decrease ) OR ( 5 ((nn decrease) OR (((a decrease) OR (mean decrease)))) ))', query time: 1.13s Refine Results
  1. 19861
    Ablation experiment.

    Ablation experiment. by Jiexiang Yang (19980594)

    Published 2025
    “…Experimental results show that Flexi-YOLO achieves an accuracy increase of 2.7% over YOLOv8n, a recall rate rise of 4.7%, a mAP improvement of 5.3%, a mAP@0.5–0.95 increase of 3.9%, a decrease of 0.5 in GFLOPS, and an F1 score improvement from 0.80 to 0.84. …”
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  2. 19862
    PR comparison.

    PR comparison. by Jiexiang Yang (19980594)

    Published 2025
    “…Experimental results show that Flexi-YOLO achieves an accuracy increase of 2.7% over YOLOv8n, a recall rate rise of 4.7%, a mAP improvement of 5.3%, a mAP@0.5–0.95 increase of 3.9%, a decrease of 0.5 in GFLOPS, and an F1 score improvement from 0.80 to 0.84. …”
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  3. 19863
    Flexi-YOLO structure.

    Flexi-YOLO structure. by Jiexiang Yang (19980594)

    Published 2025
    “…Experimental results show that Flexi-YOLO achieves an accuracy increase of 2.7% over YOLOv8n, a recall rate rise of 4.7%, a mAP improvement of 5.3%, a mAP@0.5–0.95 increase of 3.9%, a decrease of 0.5 in GFLOPS, and an F1 score improvement from 0.80 to 0.84. …”
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  4. 19864
    Experimental environment.

    Experimental environment. by Jiexiang Yang (19980594)

    Published 2025
    “…Experimental results show that Flexi-YOLO achieves an accuracy increase of 2.7% over YOLOv8n, a recall rate rise of 4.7%, a mAP improvement of 5.3%, a mAP@0.5–0.95 increase of 3.9%, a decrease of 0.5 in GFLOPS, and an F1 score improvement from 0.80 to 0.84. …”
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  5. 19865
    Loss curve.

    Loss curve. by Jiexiang Yang (19980594)

    Published 2025
    “…Experimental results show that Flexi-YOLO achieves an accuracy increase of 2.7% over YOLOv8n, a recall rate rise of 4.7%, a mAP improvement of 5.3%, a mAP@0.5–0.95 increase of 3.9%, a decrease of 0.5 in GFLOPS, and an F1 score improvement from 0.80 to 0.84. …”
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  6. 19866
    Results of the inference experiment.

    Results of the inference experiment. by Jiexiang Yang (19980594)

    Published 2025
    “…Experimental results show that Flexi-YOLO achieves an accuracy increase of 2.7% over YOLOv8n, a recall rate rise of 4.7%, a mAP improvement of 5.3%, a mAP@0.5–0.95 increase of 3.9%, a decrease of 0.5 in GFLOPS, and an F1 score improvement from 0.80 to 0.84. …”
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  7. 19867
    Distribution of dataset annotations.

    Distribution of dataset annotations. by Jiexiang Yang (19980594)

    Published 2025
    “…Experimental results show that Flexi-YOLO achieves an accuracy increase of 2.7% over YOLOv8n, a recall rate rise of 4.7%, a mAP improvement of 5.3%, a mAP@0.5–0.95 increase of 3.9%, a decrease of 0.5 in GFLOPS, and an F1 score improvement from 0.80 to 0.84. …”
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  8. 19868
    C3 Module.

    C3 Module. by Jiexiang Yang (19980594)

    Published 2025
    “…Experimental results show that Flexi-YOLO achieves an accuracy increase of 2.7% over YOLOv8n, a recall rate rise of 4.7%, a mAP improvement of 5.3%, a mAP@0.5–0.95 increase of 3.9%, a decrease of 0.5 in GFLOPS, and an F1 score improvement from 0.80 to 0.84. …”
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  9. 19869
    Variable convolution process.

    Variable convolution process. by Jiexiang Yang (19980594)

    Published 2025
    “…Experimental results show that Flexi-YOLO achieves an accuracy increase of 2.7% over YOLOv8n, a recall rate rise of 4.7%, a mAP improvement of 5.3%, a mAP@0.5–0.95 increase of 3.9%, a decrease of 0.5 in GFLOPS, and an F1 score improvement from 0.80 to 0.84. …”
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  10. 19870
    GAM structure diagram.

    GAM structure diagram. by Jiexiang Yang (19980594)

    Published 2025
    “…Experimental results show that Flexi-YOLO achieves an accuracy increase of 2.7% over YOLOv8n, a recall rate rise of 4.7%, a mAP improvement of 5.3%, a mAP@0.5–0.95 increase of 3.9%, a decrease of 0.5 in GFLOPS, and an F1 score improvement from 0.80 to 0.84. …”
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  11. 19871
    Hyperparameter settings.

    Hyperparameter settings. by Jiexiang Yang (19980594)

    Published 2025
    “…Experimental results show that Flexi-YOLO achieves an accuracy increase of 2.7% over YOLOv8n, a recall rate rise of 4.7%, a mAP improvement of 5.3%, a mAP@0.5–0.95 increase of 3.9%, a decrease of 0.5 in GFLOPS, and an F1 score improvement from 0.80 to 0.84. …”
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  12. 19872
    Ghost detect module.

    Ghost detect module. by Jiexiang Yang (19980594)

    Published 2025
    “…Experimental results show that Flexi-YOLO achieves an accuracy increase of 2.7% over YOLOv8n, a recall rate rise of 4.7%, a mAP improvement of 5.3%, a mAP@0.5–0.95 increase of 3.9%, a decrease of 0.5 in GFLOPS, and an F1 score improvement from 0.80 to 0.84. …”
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  13. 19873
    Example of preprocessed image.

    Example of preprocessed image. by Jiexiang Yang (19980594)

    Published 2025
    “…Experimental results show that Flexi-YOLO achieves an accuracy increase of 2.7% over YOLOv8n, a recall rate rise of 4.7%, a mAP improvement of 5.3%, a mAP@0.5–0.95 increase of 3.9%, a decrease of 0.5 in GFLOPS, and an F1 score improvement from 0.80 to 0.84. …”
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  14. 19874
    Thermodynamic chart.

    Thermodynamic chart. by Jiexiang Yang (19980594)

    Published 2025
    “…Experimental results show that Flexi-YOLO achieves an accuracy increase of 2.7% over YOLOv8n, a recall rate rise of 4.7%, a mAP improvement of 5.3%, a mAP@0.5–0.95 increase of 3.9%, a decrease of 0.5 in GFLOPS, and an F1 score improvement from 0.80 to 0.84. …”
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  15. 19875
    Principle of ghost convolution.

    Principle of ghost convolution. by Jiexiang Yang (19980594)

    Published 2025
    “…Experimental results show that Flexi-YOLO achieves an accuracy increase of 2.7% over YOLOv8n, a recall rate rise of 4.7%, a mAP improvement of 5.3%, a mAP@0.5–0.95 increase of 3.9%, a decrease of 0.5 in GFLOPS, and an F1 score improvement from 0.80 to 0.84. …”
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  16. 19876
    mAP comparison.

    mAP comparison. by Jiexiang Yang (19980594)

    Published 2025
    “…Experimental results show that Flexi-YOLO achieves an accuracy increase of 2.7% over YOLOv8n, a recall rate rise of 4.7%, a mAP improvement of 5.3%, a mAP@0.5–0.95 increase of 3.9%, a decrease of 0.5 in GFLOPS, and an F1 score improvement from 0.80 to 0.84. …”
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  17. 19877
    Actual inspection image.

    Actual inspection image. by Jiexiang Yang (19980594)

    Published 2025
    “…Experimental results show that Flexi-YOLO achieves an accuracy increase of 2.7% over YOLOv8n, a recall rate rise of 4.7%, a mAP improvement of 5.3%, a mAP@0.5–0.95 increase of 3.9%, a decrease of 0.5 in GFLOPS, and an F1 score improvement from 0.80 to 0.84. …”
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  18. 19878
    Comparative experiments.

    Comparative experiments. by Jiexiang Yang (19980594)

    Published 2025
    “…Experimental results show that Flexi-YOLO achieves an accuracy increase of 2.7% over YOLOv8n, a recall rate rise of 4.7%, a mAP improvement of 5.3%, a mAP@0.5–0.95 increase of 3.9%, a decrease of 0.5 in GFLOPS, and an F1 score improvement from 0.80 to 0.84. …”
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  19. 19879
    C2f Module.

    C2f Module. by Jiexiang Yang (19980594)

    Published 2025
    “…Experimental results show that Flexi-YOLO achieves an accuracy increase of 2.7% over YOLOv8n, a recall rate rise of 4.7%, a mAP improvement of 5.3%, a mAP@0.5–0.95 increase of 3.9%, a decrease of 0.5 in GFLOPS, and an F1 score improvement from 0.80 to 0.84. …”
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  20. 19880
    Model generalization experiment.

    Model generalization experiment. by Jiexiang Yang (19980594)

    Published 2025
    “…Experimental results show that Flexi-YOLO achieves an accuracy increase of 2.7% over YOLOv8n, a recall rate rise of 4.7%, a mAP improvement of 5.3%, a mAP@0.5–0.95 increase of 3.9%, a decrease of 0.5 in GFLOPS, and an F1 score improvement from 0.80 to 0.84. …”
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