Search alternatives:
slice detection » site detection (Expand Search), life detection (Expand Search), line detection (Expand Search)
multi slice » multi site (Expand Search), multi source (Expand Search)
slice detection » site detection (Expand Search), life detection (Expand Search), line detection (Expand Search)
multi slice » multi site (Expand Search), multi source (Expand Search)
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1
Slicing aided hyper inference algorithm.
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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<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>
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. …”
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3
Multi-layer Sliced Design and Analysis with Application to AI Assurance
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. …”
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4
Different model detection results comparison.
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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Ablation Experiment GradCAM Heatmap.
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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8
Space-to-depth convolution.
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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9
Data augmentation.
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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10
Side angle tea picking.
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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11
Comparison results of ablation experiments.
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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12
Table of dataset division.
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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13
Striking image.
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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14
Precision, recall, F1-Score curve.
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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15
Model comparison experimental results.
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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16
Improved YOLOv10 network structure.
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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17
Loss function variation curve.
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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18
Inner-IoU.
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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19
fnsys-16-975989_Dimensionality reduction and recurrence analysis reveal hidden structures of striatal pathological states.xmltable
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. …”
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20
Efficient Deep Learning Methods for Medical Image Analysis
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. …”