Transferring Indoor Corrosion Image Assessment Models to Outdoor Images via Domain Adaptation-Reference-Cited by-同舟云学术

Transferring Indoor Corrosion Image Assessment Models to Outdoor Images via Domain Adaptation

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA)
language:
Short-container-title:

Author:

Josselyn Nicholas¹,Yin Biao¹,Considine Thomas²,Kelley John²,Rinderspacher Berend²,Jensen Robert³,Snyder James⁴,Zhang Ziming¹,Rundensteiner Elke¹

Affiliation:

1. Worcester Polytechnic Institute,Department of Data Science,Worcester,MA

2. Aberdeen Proving Ground,ARD, DEVCOM Army Research Laboratory,MD,USA

3. Northeast Regional Extended Site,ARD, DEVCOM Army Research Laboratory,Burlington,MA,USA

4. ARD, DEVCOM Army Research Laboratory,Adelphi,MD,USA

Publisher

IEEE

Link

Reference34 articles.

1. Corrosion image data set for automating scientific assessment of materials;yin;British Mach Vis Conf BMVC 2021,0

3. Scikit-learn: Machine learning in python;pedregosa;J Mach Learn Res,2011

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. MOSS: AI Platform for Discovery of Corrosion-Resistant Materials;Proceedings of the 32nd ACM International Conference on Information and Knowledge Management;2023-10-21