Ship Deck Segmentation Using an Attention Based Generative Adversarial Network-Reference-Cited by-同舟云学术

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Ship Deck Segmentation Using an Attention Based Generative Adversarial Network

Published:2022-10-26 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 13th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)
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Author:

He Joanna¹,Uddin Mohammad Shahab²,Canan Mustafa³,Sousa-Poza Andres⁴,Kovacic Samuel⁴,Li Jiang²

Affiliation:

1. Ocean Lakes High School,Math and Science Academy,Virginia Beach,VA

2. Old Dominion University,Department of Electrical and Computer Engineering,Norfolk,VA

3. Naval Postgraduate School,Department of Information Sciences,Monterey,CA

4. Old Dominion University,Department of Engineering Management & Systems Engineering,Norfolk,VA

Funder

U.S. Department of Defense

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9965569/9965624/09965690.pdf?arnumber=9965690

Reference19 articles.

1. Residential floor plan recognition and reconstruction

2. Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks

3. Leveraging Transfer Learning and GAN Models for OCR from Engineering Documents

4. Towards digital engineering: the advent of digital systems engineering

5. Digital engineering strategy,2018

Cited by 1 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. MWIRGAN: Unsupervised Visible-to-MWIR Image Translation with Generative Adversarial Network;Electronics;2023-02-20

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