Weakly Supervised Learning for Pixel-Level Sea Ice Concentration Extraction Using AI4Arctic Sea Ice Challenge Dataset
Author:
Affiliation:
1. Department of Systems Design Engineering, University of Waterloo, Waterloo, Canada
2. Department of Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, Canada
Funder
Environment and Climate Change Canada
Natural Sciences and Engineering Research Council of Canada
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology
Link
http://xplorestaging.ieee.org/ielx7/8859/10365397/10335753.pdf?arnumber=10335753
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1. Recent Arctic amplification and extreme mid-latitude weather
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3. Light from space illuminating the polar silk road
4. Accounting for Label Errors When Training a Convolutional Neural Network to Estimate Sea Ice Concentration Using Operational Ice Charts
5. MAGIC: MAp-Guided Ice Classification System
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