يعرض 1 - 20 نتائج من 68 نتيجة بحث عن '(( less based process segmentation algorithm ) OR ( binary image all optimization algorithm ))', وقت الاستعلام: 0.59s تنقيح النتائج
  1. 1
  2. 2

    Image 7_Segmentation of tobacco shred point cloud and 3-D measurement based on improved PointNet++ network with DTC algorithm.png حسب Yihang Wang (4731429)

    منشور في 2025
    "…This model combines the weighted cross-entropy loss function to enhance the classification effect, the cosine annealing algorithm to optimize the training process, and the improved k-nearest neighbors multi-scale grouping method to enhance the model’s ability to segment the point cloud with complex morphology. …"
  3. 3

    Image 2_Segmentation of tobacco shred point cloud and 3-D measurement based on improved PointNet++ network with DTC algorithm.png حسب Yihang Wang (4731429)

    منشور في 2025
    "…This model combines the weighted cross-entropy loss function to enhance the classification effect, the cosine annealing algorithm to optimize the training process, and the improved k-nearest neighbors multi-scale grouping method to enhance the model’s ability to segment the point cloud with complex morphology. …"
  4. 4

    Table 1_Segmentation of tobacco shred point cloud and 3-D measurement based on improved PointNet++ network with DTC algorithm.docx حسب Yihang Wang (4731429)

    منشور في 2025
    "…This model combines the weighted cross-entropy loss function to enhance the classification effect, the cosine annealing algorithm to optimize the training process, and the improved k-nearest neighbors multi-scale grouping method to enhance the model’s ability to segment the point cloud with complex morphology. …"
  5. 5

    Image 4_Segmentation of tobacco shred point cloud and 3-D measurement based on improved PointNet++ network with DTC algorithm.png حسب Yihang Wang (4731429)

    منشور في 2025
    "…This model combines the weighted cross-entropy loss function to enhance the classification effect, the cosine annealing algorithm to optimize the training process, and the improved k-nearest neighbors multi-scale grouping method to enhance the model’s ability to segment the point cloud with complex morphology. …"
  6. 6

    Image 6_Segmentation of tobacco shred point cloud and 3-D measurement based on improved PointNet++ network with DTC algorithm.png حسب Yihang Wang (4731429)

    منشور في 2025
    "…This model combines the weighted cross-entropy loss function to enhance the classification effect, the cosine annealing algorithm to optimize the training process, and the improved k-nearest neighbors multi-scale grouping method to enhance the model’s ability to segment the point cloud with complex morphology. …"
  7. 7

    Image 5_Segmentation of tobacco shred point cloud and 3-D measurement based on improved PointNet++ network with DTC algorithm.png حسب Yihang Wang (4731429)

    منشور في 2025
    "…This model combines the weighted cross-entropy loss function to enhance the classification effect, the cosine annealing algorithm to optimize the training process, and the improved k-nearest neighbors multi-scale grouping method to enhance the model’s ability to segment the point cloud with complex morphology. …"
  8. 8

    Image 1_Segmentation of tobacco shred point cloud and 3-D measurement based on improved PointNet++ network with DTC algorithm.png حسب Yihang Wang (4731429)

    منشور في 2025
    "…This model combines the weighted cross-entropy loss function to enhance the classification effect, the cosine annealing algorithm to optimize the training process, and the improved k-nearest neighbors multi-scale grouping method to enhance the model’s ability to segment the point cloud with complex morphology. …"
  9. 9

    Image 3_Segmentation of tobacco shred point cloud and 3-D measurement based on improved PointNet++ network with DTC algorithm.png حسب Yihang Wang (4731429)

    منشور في 2025
    "…This model combines the weighted cross-entropy loss function to enhance the classification effect, the cosine annealing algorithm to optimize the training process, and the improved k-nearest neighbors multi-scale grouping method to enhance the model’s ability to segment the point cloud with complex morphology. …"
  10. 10
  11. 11
  12. 12
  13. 13
  14. 14
  15. 15

    ROC curves for MaskRCNN and Yolov8-SE. حسب Qingyang Wang (460264)

    منشور في 2025
    الموضوعات:
  16. 16
  17. 17
  18. 18

    Fig 2 - حسب Qingyang Wang (460264)

    منشور في 2025
    الموضوعات:
  19. 19

    Kendall’s correlation τ values. حسب Qingyang Wang (460264)

    منشور في 2025
    الموضوعات:
  20. 20

    Number of images in each dataset. حسب Qingyang Wang (460264)

    منشور في 2025
    الموضوعات: