Comparative Study of Real-Time Semantic Segmentation Networks in Aerial Images During Flooding Events
Author:
Affiliation:
1. Computer Science and Electrical Engineering, University of Maryland, Baltimore County, Baltimore, MD, USA
2. Departments of Computer Science and Engineering and Civil and Environmental Engineering, Lehigh University, Bethlehem, PA, USA
Funder
Microsoft
Amazon Catalyst
U.S. Army
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Atmospheric Science,Computers in Earth Sciences
Link
https://ieeexplore.ieee.org/ielam/4609443/9973430/9939092-aam.pdf
Reference108 articles.
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4. Deep Convolutional Neural Network for Flood Extent Mapping Using Unmanned Aerial Vehicles Data
5. Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals
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