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Fig 1.

Network structure of the YOLOv7 model.

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Fig 1 Expand

Fig 2.

Schematic diagram of the transfer learning process.

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Table 1.

Hyperparameters of the pre-trained model.

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Table 1 Expand

Fig 3.

SimAM structure.

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Fig 3 Expand

Fig 4.

Improved ELAN structure.

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Fig 5.

PConv module structure.

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Fig 6.

Deep SORT module structure.

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Fig 7.

IOU status.

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Table 2.

Experimental environment.

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Table 2 Expand

Fig 8.

Curves of training and validation losses during model pre-training.

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Fig 9.

mAP values of the transfer learning models and the un-transferred learning model.

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Fig 10.

Results of different models for ship detection.

(a) Non-transfer learning model. (b) Transfer learning model 1. (c) Transfer learning model 2.

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Table 3.

Comparison with different detection methods.

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Table 4.

Comparison of tracking results with other mainstream methods.

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Fig 11.

Results of different algorithms for ship detection and tracking.

(a) YOLOv7 + Deep SORT. (b) Ours.

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Fig 12.

Improvement of ablation experiment results for YOLOv7 modules.

(a) The original YOLO model (b)YOLOv7+SimAM. (c)YOLOv7+SimAM+Pconv.

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Table 5.

Ablation study of different improved methods.

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Table 5 Expand