Search alternatives:
significant reductions » significant reduction (Expand Search), significant predictors (Expand Search), significant variations (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
reductions decrease » reduction decreased (Expand Search)
significant reductions » significant reduction (Expand Search), significant predictors (Expand Search), significant variations (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
reductions decrease » reduction decreased (Expand Search)
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MGPC module.
Published 2025“…The proposed MFD-YOLO(1.5) model achieves significant progress in detecting personal protective equipment on construction sites, with a substantial reduction in parameter count, making it suitable for deployment on resource-constrained edge devices.…”
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2370
Comparative experiment.
Published 2025“…The proposed MFD-YOLO(1.5) model achieves significant progress in detecting personal protective equipment on construction sites, with a substantial reduction in parameter count, making it suitable for deployment on resource-constrained edge devices.…”
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2371
Pruning experiment.
Published 2025“…The proposed MFD-YOLO(1.5) model achieves significant progress in detecting personal protective equipment on construction sites, with a substantial reduction in parameter count, making it suitable for deployment on resource-constrained edge devices.…”
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2372
Parameter setting table.
Published 2025“…The proposed MFD-YOLO(1.5) model achieves significant progress in detecting personal protective equipment on construction sites, with a substantial reduction in parameter count, making it suitable for deployment on resource-constrained edge devices.…”
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2373
DTADH module.
Published 2025“…The proposed MFD-YOLO(1.5) model achieves significant progress in detecting personal protective equipment on construction sites, with a substantial reduction in parameter count, making it suitable for deployment on resource-constrained edge devices.…”
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2374
Ablation experiment.
Published 2025“…The proposed MFD-YOLO(1.5) model achieves significant progress in detecting personal protective equipment on construction sites, with a substantial reduction in parameter count, making it suitable for deployment on resource-constrained edge devices.…”
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2375
Multi scale detection.
Published 2025“…The proposed MFD-YOLO(1.5) model achieves significant progress in detecting personal protective equipment on construction sites, with a substantial reduction in parameter count, making it suitable for deployment on resource-constrained edge devices.…”
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2376
MFDPN module.
Published 2025“…The proposed MFD-YOLO(1.5) model achieves significant progress in detecting personal protective equipment on construction sites, with a substantial reduction in parameter count, making it suitable for deployment on resource-constrained edge devices.…”
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2377
Detection effect of different sizes.
Published 2025“…The proposed MFD-YOLO(1.5) model achieves significant progress in detecting personal protective equipment on construction sites, with a substantial reduction in parameter count, making it suitable for deployment on resource-constrained edge devices.…”
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2378
Radar chart comparing indicators.
Published 2025“…The proposed MFD-YOLO(1.5) model achieves significant progress in detecting personal protective equipment on construction sites, with a substantial reduction in parameter count, making it suitable for deployment on resource-constrained edge devices.…”
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2379
MFD-YOLO structure.
Published 2025“…The proposed MFD-YOLO(1.5) model achieves significant progress in detecting personal protective equipment on construction sites, with a substantial reduction in parameter count, making it suitable for deployment on resource-constrained edge devices.…”
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2380
Detection results of each category.
Published 2025“…The proposed MFD-YOLO(1.5) model achieves significant progress in detecting personal protective equipment on construction sites, with a substantial reduction in parameter count, making it suitable for deployment on resource-constrained edge devices.…”