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Showing 1 - 10 results of 10 for search '(( less based ap optimization algorithm ) OR ( binary basic global optimization algorithm ))*', query time: 0.54s Refine Results
  1. 1
    Schematic diagram of weld surface defects.

    Schematic diagram of weld surface defects. by Xiangqian Xu (17310895)

    Published 2024
    “…The experimental results show that the defect detection <a href="mailto:mAP@0.5" target="_blank">mAP@0.5</a> based on the improved YOLOv7 algorithm can reach 72.2%, which is 11% higher than that of YOLOv7, and the model calculation amount and parameter amount are reduced by 75.6% and 60.3%, respectively. …”
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  2. 2
    Improved YOLOv7 network structure.

    Improved YOLOv7 network structure. by Xiangqian Xu (17310895)

    Published 2024
    “…The experimental results show that the defect detection <a href="mailto:mAP@0.5" target="_blank">mAP@0.5</a> based on the improved YOLOv7 algorithm can reach 72.2%, which is 11% higher than that of YOLOv7, and the model calculation amount and parameter amount are reduced by 75.6% and 60.3%, respectively. …”
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  3. 3
    Renderings of data enhancements.

    Renderings of data enhancements. by Xiangqian Xu (17310895)

    Published 2024
    “…The experimental results show that the defect detection <a href="mailto:mAP@0.5" target="_blank">mAP@0.5</a> based on the improved YOLOv7 algorithm can reach 72.2%, which is 11% higher than that of YOLOv7, and the model calculation amount and parameter amount are reduced by 75.6% and 60.3%, respectively. …”
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  4. 4
    Number and size of marked defects.

    Number and size of marked defects. by Xiangqian Xu (17310895)

    Published 2024
    “…The experimental results show that the defect detection <a href="mailto:mAP@0.5" target="_blank">mAP@0.5</a> based on the improved YOLOv7 algorithm can reach 72.2%, which is 11% higher than that of YOLOv7, and the model calculation amount and parameter amount are reduced by 75.6% and 60.3%, respectively. …”
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  5. 5
    Loss function curve.

    Loss function curve. by Xiangqian Xu (17310895)

    Published 2024
    “…The experimental results show that the defect detection <a href="mailto:mAP@0.5" target="_blank">mAP@0.5</a> based on the improved YOLOv7 algorithm can reach 72.2%, which is 11% higher than that of YOLOv7, and the model calculation amount and parameter amount are reduced by 75.6% and 60.3%, respectively. …”
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  6. 6
    Precision-Recall curve.

    Precision-Recall curve. by Xiangqian Xu (17310895)

    Published 2024
    “…The experimental results show that the defect detection <a href="mailto:mAP@0.5" target="_blank">mAP@0.5</a> based on the improved YOLOv7 algorithm can reach 72.2%, which is 11% higher than that of YOLOv7, and the model calculation amount and parameter amount are reduced by 75.6% and 60.3%, respectively. …”
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  7. 7
    Comparison experiment results.

    Comparison experiment results. by Xiangqian Xu (17310895)

    Published 2024
    “…The experimental results show that the defect detection <a href="mailto:mAP@0.5" target="_blank">mAP@0.5</a> based on the improved YOLOv7 algorithm can reach 72.2%, which is 11% higher than that of YOLOv7, and the model calculation amount and parameter amount are reduced by 75.6% and 60.3%, respectively. …”
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  8. 8
    Ablation experiment results.

    Ablation experiment results. by Xiangqian Xu (17310895)

    Published 2024
    “…The experimental results show that the defect detection <a href="mailto:mAP@0.5" target="_blank">mAP@0.5</a> based on the improved YOLOv7 algorithm can reach 72.2%, which is 11% higher than that of YOLOv7, and the model calculation amount and parameter amount are reduced by 75.6% and 60.3%, respectively. …”
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  9. 9
    Deepwise separable convolution structure diagram.

    Deepwise separable convolution structure diagram. by Xiangqian Xu (17310895)

    Published 2024
    “…The experimental results show that the defect detection <a href="mailto:mAP@0.5" target="_blank">mAP@0.5</a> based on the improved YOLOv7 algorithm can reach 72.2%, which is 11% higher than that of YOLOv7, and the model calculation amount and parameter amount are reduced by 75.6% and 60.3%, respectively. …”
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  10. 10
    Data Sheet 1_Leveraging automated time-lapse microscopy coupled with deep learning to automate colony forming assay.docx

    Data Sheet 1_Leveraging automated time-lapse microscopy coupled with deep learning to automate colony forming assay.docx by Anusha Klett (20748443)

    Published 2025
    “…Brightfield images were used to train a YOLOv8 object detection network, achieving a mAP50 score of 86% for identifying single cells, clusters, and colonies, and 97% accuracy for Z-stack colony identification with a multi-object tracking algorithm. …”
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