Fusion of Multi-Modal Underwater Ship Inspection Data with Knowledge Graphs-Reference-Cited by-同舟云学术

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Fusion of Multi-Modal Underwater Ship Inspection Data with Knowledge Graphs

Published:2022-10-17 Issue: Volume: Page:
ISSN:
Container-title:OCEANS 2022, Hampton Roads
language:
Short-container-title:

Author:

Hirsch Joseph¹,Elvesater Brian¹,Cardaillac Alexandre²,Bauer Bernhard³,Waszak Maryna¹

Affiliation:

1. SINTEF AS, P. O. Box 124 Blindern,Oslo,Norway,0314

2. Norwegian University of Science and Technology (NTNU),Faculty of Engineering,Department of Marine Technology,Trondheim,Norway

3. University of Augsburg,Software Methodologies for Distributed Systems,Augsburg,Germany

Funder

The Research Council

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9976950/9976951/09977371.pdf?arnumber=9977371

Reference28 articles.

1. Semantic segmentation in underwater ship inspections: Benchmark and dataset;waszak;IEEE Journal of Oceanic Engineering in review,2022

2. ISO 19848:2018 Ships and marine technology – Standard data for shipboard machinery and equipment;International Organization for Standardization Geneva CH Standard,2018

3. Industry standard on in-water cleaning with capture,2021

4. Deep Residual Learning for Image Recognition

5. ImageNet: A large-scale hierarchical image database

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. Multi-label Video Classification for Underwater Ship Inspection;OCEANS 2023 - Limerick;2023-06-05

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