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algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
algorithm rate » algorithm based (Expand Search), algorithm a (Expand Search), algorithm etc (Expand Search)
rate function » brain function (Expand Search), a function (Expand Search), gene function (Expand Search)
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301
Q-Table values for each state-action pair at selected generations (mean over 20 runs).
Published 2025Subjects: -
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Schematic diagram of MHSA mechanism.
Published 2025“…<div><p>To address the challenges of low accuracy, high miss detection rate, and poor tracking stability in pedestrian detection and tracking under dense occlusion and small object scenarios on traffic roads, this paper proposes a pedestrian detection and tracking algorithm based on improved YOLOv5s and DeepSORT. …”
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317
Improved FPN combined with PAN structure.
Published 2025“…<div><p>To address the challenges of low accuracy, high miss detection rate, and poor tracking stability in pedestrian detection and tracking under dense occlusion and small object scenarios on traffic roads, this paper proposes a pedestrian detection and tracking algorithm based on improved YOLOv5s and DeepSORT. …”
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318
YOLOv5s network structure.
Published 2025“…<div><p>To address the challenges of low accuracy, high miss detection rate, and poor tracking stability in pedestrian detection and tracking under dense occlusion and small object scenarios on traffic roads, this paper proposes a pedestrian detection and tracking algorithm based on improved YOLOv5s and DeepSORT. …”
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319
Improved YOLOv5s network structure.
Published 2025“…<div><p>To address the challenges of low accuracy, high miss detection rate, and poor tracking stability in pedestrian detection and tracking under dense occlusion and small object scenarios on traffic roads, this paper proposes a pedestrian detection and tracking algorithm based on improved YOLOv5s and DeepSORT. …”
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320
Improved YOLOv5s-DeepSORT network structure.
Published 2025“…<div><p>To address the challenges of low accuracy, high miss detection rate, and poor tracking stability in pedestrian detection and tracking under dense occlusion and small object scenarios on traffic roads, this paper proposes a pedestrian detection and tracking algorithm based on improved YOLOv5s and DeepSORT. …”