Search alternatives:
linear decrease » linear increase (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), gy decreased (Expand Search)
linear decrease » linear increase (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), gy decreased (Expand Search)
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2201
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2202
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2203
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2204
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2205
Algorithm training accuracy experiments.
Published 2025“…The actual accuracy and mean latency time of the model were 92.43% and 260ms, respectively. …”
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2206
Repeat the detection experiment.
Published 2025“…The actual accuracy and mean latency time of the model were 92.43% and 260ms, respectively. …”
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2207
Detection network structure with IRAU [34].
Published 2025“…The actual accuracy and mean latency time of the model were 92.43% and 260ms, respectively. …”
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2208
Ablation experiments of various block.
Published 2025“…The actual accuracy and mean latency time of the model were 92.43% and 260ms, respectively. …”
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2209
Kappa coefficients for different algorithms.
Published 2025“…The actual accuracy and mean latency time of the model were 92.43% and 260ms, respectively. …”
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2210
The structure of ASPP+ block.
Published 2025“…The actual accuracy and mean latency time of the model were 92.43% and 260ms, respectively. …”
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2211
The structure of attention gate block [31].
Published 2025“…The actual accuracy and mean latency time of the model were 92.43% and 260ms, respectively. …”
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2212
DSC block and its application network structure.
Published 2025“…The actual accuracy and mean latency time of the model were 92.43% and 260ms, respectively. …”
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2213
The structure of multi-scale residual block [30].
Published 2025“…The actual accuracy and mean latency time of the model were 92.43% and 260ms, respectively. …”
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2214
The structure of IRAU and Res2Net+ block [22].
Published 2025“…The actual accuracy and mean latency time of the model were 92.43% and 260ms, respectively. …”
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2215
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2216
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2217
Prediction of transition readiness.
Published 2025“…In most transition domains, help needed did not decrease with age and was not affected by function. …”
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2218
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2219
Dataset visualization diagram.
Published 2025“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”
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2220
Dataset sample images.
Published 2025“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”