Showing 1 - 20 results of 22 for search 'multi slice detection algorithm', query time: 0.18s Refine Results
  1. 1

    Slicing aided hyper inference algorithm. by Chunhua Yang (346871)

    Published 2025
    “…<div><p>This study proposes the S-YOLOv10-ASI algorithm to improve the accuracy of tea identification and harvesting by robots, integrating a slice-assisted super-reasoning technique. …”
  2. 2

    <b>Multi-object detection method based on YOLOv9 for labor protection equipment</b><b> </b><b>wear</b><b>ing</b><b> </b><b>condition </b><b>of offshore platform operators</b> by Guo Xiaosai (21358637)

    Published 2025
    “…Aiming at the missed detection problem of small targets of labor protection equipment, SAHI algorithm is introduced to slice the input image into multiple pieces, and the very small labor protection targets has been detected by the slicing detection method. …”
  3. 3

    Multi-layer Sliced Design and Analysis with Application to AI Assurance by Qing Guo (317746)

    Published 2025
    “…Specifically, the method proposes a multi-layer sliced design to enable quantifying the effects of slice factors and design factors to account for hyperparameters having different effects under different configurations of the AI algorithm. …”
  4. 4

    Different model detection results comparison. by Chunhua Yang (346871)

    Published 2025
    “…<div><p>This study proposes the S-YOLOv10-ASI algorithm to improve the accuracy of tea identification and harvesting by robots, integrating a slice-assisted super-reasoning technique. …”
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  7. 7

    Ablation Experiment GradCAM Heatmap. by Chunhua Yang (346871)

    Published 2025
    “…<div><p>This study proposes the S-YOLOv10-ASI algorithm to improve the accuracy of tea identification and harvesting by robots, integrating a slice-assisted super-reasoning technique. …”
  8. 8

    Space-to-depth convolution. by Chunhua Yang (346871)

    Published 2025
    “…<div><p>This study proposes the S-YOLOv10-ASI algorithm to improve the accuracy of tea identification and harvesting by robots, integrating a slice-assisted super-reasoning technique. …”
  9. 9

    Data augmentation. by Chunhua Yang (346871)

    Published 2025
    “…<div><p>This study proposes the S-YOLOv10-ASI algorithm to improve the accuracy of tea identification and harvesting by robots, integrating a slice-assisted super-reasoning technique. …”
  10. 10

    Side angle tea picking. by Chunhua Yang (346871)

    Published 2025
    “…<div><p>This study proposes the S-YOLOv10-ASI algorithm to improve the accuracy of tea identification and harvesting by robots, integrating a slice-assisted super-reasoning technique. …”
  11. 11

    Comparison results of ablation experiments. by Chunhua Yang (346871)

    Published 2025
    “…<div><p>This study proposes the S-YOLOv10-ASI algorithm to improve the accuracy of tea identification and harvesting by robots, integrating a slice-assisted super-reasoning technique. …”
  12. 12

    Table of dataset division. by Chunhua Yang (346871)

    Published 2025
    “…<div><p>This study proposes the S-YOLOv10-ASI algorithm to improve the accuracy of tea identification and harvesting by robots, integrating a slice-assisted super-reasoning technique. …”
  13. 13

    Striking image. by Chunhua Yang (346871)

    Published 2025
    “…<div><p>This study proposes the S-YOLOv10-ASI algorithm to improve the accuracy of tea identification and harvesting by robots, integrating a slice-assisted super-reasoning technique. …”
  14. 14

    Precision, recall, F1-Score curve. by Chunhua Yang (346871)

    Published 2025
    “…<div><p>This study proposes the S-YOLOv10-ASI algorithm to improve the accuracy of tea identification and harvesting by robots, integrating a slice-assisted super-reasoning technique. …”
  15. 15

    Model comparison experimental results. by Chunhua Yang (346871)

    Published 2025
    “…<div><p>This study proposes the S-YOLOv10-ASI algorithm to improve the accuracy of tea identification and harvesting by robots, integrating a slice-assisted super-reasoning technique. …”
  16. 16

    Improved YOLOv10 network structure. by Chunhua Yang (346871)

    Published 2025
    “…<div><p>This study proposes the S-YOLOv10-ASI algorithm to improve the accuracy of tea identification and harvesting by robots, integrating a slice-assisted super-reasoning technique. …”
  17. 17

    Loss function variation curve. by Chunhua Yang (346871)

    Published 2025
    “…<div><p>This study proposes the S-YOLOv10-ASI algorithm to improve the accuracy of tea identification and harvesting by robots, integrating a slice-assisted super-reasoning technique. …”
  18. 18

    Inner-IoU. by Chunhua Yang (346871)

    Published 2025
    “…<div><p>This study proposes the S-YOLOv10-ASI algorithm to improve the accuracy of tea identification and harvesting by robots, integrating a slice-assisted super-reasoning technique. …”
  19. 19

    fnsys-16-975989_Dimensionality reduction and recurrence analysis reveal hidden structures of striatal pathological states.xmltable by Miguel Serrano-Reyes (14199614)

    Published 2022
    “…<p>A pipeline is proposed here to describe different features to study brain microcircuits on a histological scale using multi-scale analyses, including the uniform manifold approximation and projection (UMAP) dimensional reduction technique and modularity algorithm to identify neuronal ensembles, Runs tests to show significant ensembles activation, graph theory to show trajectories between ensembles, and recurrence analyses to describe how regular or chaotic ensembles dynamics are. …”
  20. 20

    Efficient Deep Learning Methods for Medical Image Analysis by Yaopeng Peng (19778394)

    Published 2024
    “…First, we aim to utilize the Wavelet Transform to mitigate information loss during the down-sampling process, thereby improving detection of small objects. Second, we plan to develop a Multi-Branch Vision Transformer to capture features across various scales while reducing computational costs and inference latency. …”