Vision Transformer With Enhanced Self-Attention for Few-Shot Ship Target Recognition in Complex Environments-Reference-Cited by-同舟云学术

Vision Transformer With Enhanced Self-Attention for Few-Shot Ship Target Recognition in Complex Environments

Published:2023 Issue: Volume:72 Page:1-12
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Tian Yang¹^ORCID,Meng Hao¹^ORCID,Yuan Fei²^ORCID,Ling Yue¹^ORCID,Yuan Ningze¹^ORCID

Affiliation:

1. College of Intelligent Systems Science and Engineering, and the Key Laboratory of Intelligent Technology and Application of Marine Equipment, Ministry of Education, Harbin Engineering University, Harbin, China

2. Northwest Institute of Mechanical and Electrical Engineering, Xianyang, China

Funder

Project of Intelligent Situation Awareness System for Smart Ship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/10105281.pdf?arnumber=10105281

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