Chinese Journal of Ship Research, Volume. 20, Issue 3, 305(2025)
Detection of water surface targets based on improved Deformable DETR
Figures & Tables(19)
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Table 1. Architecture of MobileNetV3-Small network
View tableView in ArticleTable 1. Architecture of MobileNetV3-Small network
序号 操作 输入 SE NL 1 conv2d,3×3 2242×3 − HS 2 bneck, 3×3 1122×16 √ RE 3 bneck, 3×3 562×16 − RE 4 bneck, 3×3 282×24 − RE 5 bneck, 5×5 282×24 √ HS 6 bneck, 5×5 142×40 √ HS 7 bneck, 5×5 142×40 √ HS 8 bneck, 5×5 142×40 √ HS 9 bneck, 5×5 142×48 √ HS 10 bneck, 5×5 142×48 √ HS 11 bneck, 5×5 72×96 √ HS 12 bneck, 5×5 72×96 √ HS 13 conv2d,1×1 72×96 √ HS 14 pool, 7×7 72×576 − − 15 conv2d,1×1,NBN 12×576 − HS 16 conv2d,1×1, NBN 12×1 024 − −
Table 2. Number of annotations for different types of data
View tableView in ArticleTable 2. Number of annotations for different types of data
数据类别 标签数量 船舶 13 414 漂浮物 1 308
Table 3. Platform configuration information
View tableView in ArticleTable 3. Platform configuration information
名称 标签数量 操作系统 Ubuntu18.04 CPU AMD EPYC 7352 GPU RTX 3090 编程语言 Python 内存 80 G Pytorch版本 1.8.1 CUDA版本 11.1
Table 4. The confusion matrix of classification results
View tableView in ArticleTable 4. The confusion matrix of classification results
真实标签 预测结果 正例 反例 正例 TP（真正例） FN（假正例） 反例 FP（真反例） TN（假反例）
Table 5. Results of ablation experiments on ABOships
View tableView in ArticleTable 5. Results of ablation experiments on ABOships
算法 mAP0.5/% mAP0.5:0.95/% Params/M FPS DD 36.6 14.2 39.8 15.40 DD-M3 49.7 21.0 13.3 29.47 本文算法 50.0 21.7 12.9 28.14
Table 6. Results of ablation experiments on self collected dataset
View tableView in ArticleTable 6. Results of ablation experiments on self collected dataset
算法 mAP0.5/% mAP0.5:0.95/% Params/M FPS DD 48.9 23.8 39.8 12.3 DD-M3 44.1 21.6 13.3 20.1 本文算法 51.8 26.2 12.9 18.7
Table 7. Results of ablation experiments for model training time and model size
View tableView in ArticleTable 7. Results of ablation experiments for model training time and model size
算法 ABOships 自采数据集 训练时长/h 模型大小/MB 训练时长/h 模型大小/MB DD 14.04 457 6.42 457 DD-M3 7.05 152 2.53 152 本文算法 7.28 148 2.68 148
Table 8. Comparison of different detection algorithms
View tableView in ArticleTable 8. Comparison of different detection algorithms
算法 mAP0.5/% mAP0.5:0.95/% Params/M FPS YOLOv3 44.9 16.8 61.6 31.37 FR 45.2 20.0 41.8 30.96 MR 46.1 21.2 44.0 7.34 本文算法 50.0 21.7 12.9 28.14
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Pengjiu WANG, Junbin Gong, Wei LUO, Xiao HUANG, Junjie GUO. Detection of water surface targets based on improved Deformable DETR[J]. Chinese Journal of Ship Research, 2025, 20(3): 305
Paper Information
Category: Weapon, Electronic and Information System
Received: Nov. 14, 2023
Accepted: --
Published Online: Jul. 15, 2025
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