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A Ship Detection Model Based on Dynamic Convolution and an Adaptive Fusion Network for Complex Maritime Conditions.

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第一作者： Zhisheng,Li

第一单位： School of Computer and Information Engineering, Tianjin Chengjian University, Tianjin 300384, China.

作者： Zhisheng,Li ^[1] ; Zhihui,Deng ^[1] ; Kun,Hao ^[1] ; Xiaofang,Zhao ^[1] ; Zhigang,Jin ^[2]

作者单位： School of Computer and Information Engineering, Tianjin Chengjian University, Tianjin 300384, China. ^[1] School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China. ^[2]

关键词 YOLOv7 adaptive ship detection data augmentation deep learning dynamic convolution

DOI 10.3390/s24030859

PMID 38339576

发布时间 2024-02-12

基金项目

61902273/National Natural Science Foundation of China HZKY20220590-202200265/Chunhui Cooperation Program of the Ministry of Education TJISE2017026/Collaborative education program of Tianjin institute of software engineering

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A Ship Detection Model Based on Dynamic Convolution and an Adaptive Fusion Network for Complex Maritime Conditions.

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A Ship Detection Model Based on Dynamic Convolution and an Adaptive Fusion Network for Complex Maritime Conditions.

Sensors (Basel, Switzerland)

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