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Showing 1 - 20 results of 110 for search '(( binary arm based optimization algorithm ) OR ( binary image based detection algorithm ))', query time: 0.39s Refine Results
  1. 1
    Effect of image resolution on the performance of the binary classifier algorithm in predicting occurrence of a bird target(s) on an individual image using the validation imagery set.

    Effect of image resolution on the performance of the binary classifier algorithm in predicting occurrence of a bird target(s) on an individual image using the validation imagery se... by Tsung-Wei Ke (18297551)

    Published 2024
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  2. 2
    Effect of training regions on the performance of the Mask R-CNN detection algorithm based on the refined annotation bounding boxes.

    Effect of training regions on the performance of the Mask R-CNN detection algorithm based on the refined annotation bounding boxes. by Tsung-Wei Ke (18297551)

    Published 2024
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  3. 3
    Performance of the baseline SVM and Mask R-CNN detection algorithms based on the original, manually-derived annotated bounding boxes.

    Performance of the baseline SVM and Mask R-CNN detection algorithms based on the original, manually-derived annotated bounding boxes. by Tsung-Wei Ke (18297551)

    Published 2024
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  4. 4
    Detection result.

    Detection result. by Hailang Li (12557543)

    Published 2022
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  5. 5
    Performance of the Mask R-CNN detection algorithm based on the original, manually-derived, annotation bounding boxes, and the refined annotation bounding boxes.

    Performance of the Mask R-CNN detection algorithm based on the original, manually-derived, annotation bounding boxes, and the refined annotation bounding boxes. by Tsung-Wei Ke (18297551)

    Published 2024
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  6. 6
    Detection performances and validation losses.

    Detection performances and validation losses. by Hailang Li (12557543)

    Published 2022
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  7. 7
    Effect of image resolution on the performance of the Mask R-CNN algorithm in detecting individual bird instances as applied to the validation imagery set.

    Effect of image resolution on the performance of the Mask R-CNN algorithm in detecting individual bird instances as applied to the validation imagery set. by Tsung-Wei Ke (18297551)

    Published 2024
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  8. 8
    Number of backbones ensembled and their detection precisions.

    Number of backbones ensembled and their detection precisions. by Hailang Li (12557543)

    Published 2022
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  9. 9
    Detection results of different methods over the rail defect datasets.

    Detection results of different methods over the rail defect datasets. by Hailang Li (12557543)

    Published 2022
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  10. 10
    Urgent versus nonurgent binary classification performance.

    Urgent versus nonurgent binary classification performance. by Kyung Won Kwon (18150416)

    Published 2024
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  11. 11
    Effectiveness of image augmentation operations.

    Effectiveness of image augmentation operations. by Hailang Li (12557543)

    Published 2022
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  12. 12
    Image augmentation methods within IAB.

    Image augmentation methods within IAB. by Hailang Li (12557543)

    Published 2022
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  13. 13
    Particle tracking validation of the S8 algorithm.

    Particle tracking validation of the S8 algorithm. by Jennifer M. Knighten (15453354)

    Published 2023
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  14. 14
    The impact of the combination of image augmentation and feature augmentation operations.

    The impact of the combination of image augmentation and feature augmentation operations. by Hailang Li (12557543)

    Published 2022
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  15. 15
    S1 File -

    S1 File - by Hailang Li (12557543)

    Published 2022
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  16. 16
    Different MBDA structures.

    Different MBDA structures. by Hailang Li (12557543)

    Published 2022
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  17. 17
    Effectiveness of feature augmentation operations.

    Effectiveness of feature augmentation operations. by Hailang Li (12557543)

    Published 2022
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  18. 18
    All data used to train the model is available at https://github.com/sirlis/RailDefect.

    All data used to train the model is available at https://github.com/sirlis/RailDefect. by Hailang Li (12557543)

    Published 2022
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  19. 19
    Feature augmentation methods within FAB.

    Feature augmentation methods within FAB. by Hailang Li (12557543)

    Published 2022
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  20. 20
    Samples of the rail defect dataset with 8 categories.

    Samples of the rail defect dataset with 8 categories. by Hailang Li (12557543)

    Published 2022
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