Efficient Prompt Tuning of Large Vision-Language Model for Fine-Grained Ship Classification

Long Lan; Fengxiang Wang; Xiangtao Zheng; Zengmao Wang; Xinwang Liu

doi:10.1109/tgrs.2024.3509721

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Efficient Prompt Tuning of Large Vision-Language Model for Fine-Grained Ship Classification

Long Lan Fengxiang Wang Xiangtao Zheng Zengmao Wang Xinwang Liu

Year: 2024 Journal: IEEE Transactions on Geoscience and Remote Sensing Vol: 63 Pages: 1-10 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/tgrs.2024.3509721

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Keywords:

Computer science Artificial intelligence Remote sensing Computer vision Geology

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Structural Integrity and Reliability Analysis

Physical Sciences → Engineering → Mechanical Engineering

Optics and Image Analysis

Social Sciences → Business, Management and Accounting → Management Information Systems

Maritime Navigation and Safety

Physical Sciences → Engineering → Ocean Engineering

Efficient Prompt Tuning of Large Vision-Language Model for Fine-Grained Ship Classification

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