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Fig 1.

The architecture of SRD-YOLOv5 model.

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Fig 2.

The structure of MSFE module.

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Fig 3.

The structure of SSFF module.

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Fig 4.

The structure of extremely small target detection module.

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Table 1.

Detailed configurations and deployment considerations of the proposed MSFE, SSFF, and ESTDL modules.

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Fig 5.

The structure of decoupled head module.

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Table 2.

Comparison of target detection accuracy with various state-of-the-art models on the VisDrone2019 dataset.

Results are reported as mean ± 95% confidence interval.

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Table 3.

Comparison between SRD-YOLOv5 and YOLO series models on the VisDrone2019 dataset.

Results are reported as mean ± 95% confidence interval. Statistical significance compared to SRD-YOLOv5 is tested by paired t-test (: p<0.05, *: p<0.01, ns: not significant).

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Table 4.

Comparison experiments with various classic models on RSOD dataset.

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Table 5.

Comparison experiments with various classic models on NWPU VHR-10 dataset.

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Table 6.

Performance comparison of YOLOv5n with various modifications.

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Table 7.

Effect of initial learning rate (LR) on mAP.

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Table 8.

Performance comparison of YOLOv5n and its enhanced versions incorporating the SSFF, MSFE, and ESTDL modules across object sizes.

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Fig 6.

Comparison of detection effects of YOLOv5n (left), and SRD-YOLOv5 (right) in dense road scenes, high-altitude small objects, crowded 522 pedestrian scenes, and multi-scale targets captured at night.

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