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Marine Vessel Re-Identification: A Large-Scale Dataset and Global-and-Local Fusion-Based Discriminative Feature Learning

  • Published:2020 Issue: Volume:8 Page:27744-27756
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Qiao DaleiORCID,Liu GuangzhongORCID,Dong FengORCID,Jiang She-XiangORCID,Dai LikunORCID

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Qinglan Project and Advanced Study and Research of Jiangsu Province

Scientific Research Foundation of Hunan Provincial Education Department

Project of the Qianfan Team, Innovation Fund, and the Collaborative Innovation Center of Shipping Big Data Application of Jiangsu Maritime Institute

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 18 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Re-Identifying Naval Vessels Using Novel Convolutional Dynamic Alignment Networks Algorithm;Polish Maritime Research;2024-03-01

2. A feature enhanced RetinaNet-based for instance-level ship recognition;Engineering Applications of Artificial Intelligence;2023-11

3. A transfer learning-based approach to maritime warships re-identification;Engineering Applications of Artificial Intelligence;2023-10

4. Research on Key Technology of Ship Re-Identification Based on the USV-UAV Collaboration;Drones;2023-09-20

5. VesselNet: A Large-Scale Dataset and Efficient Mixed Attention Network for Vessel Re-identification;2023 2nd International Conference on Machine Learning, Cloud Computing and Intelligent Mining (MLCCIM);2023-07-25
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