Leveraging Saliency in Single-Stage Multi-Label Concrete Defect Detection Using Unmanned Aerial Vehicle Imagery
Author:
Affiliation:
1. Department of Computer Science and Engineering, University of Quebec in Outaouais, Gatineau, QC J8X 3X7, Canada
2. Digital Technologies Research Center, National Research Council Canada, Ottawa, ON K1A 0R6, Canada
Abstract
Funder
National Research Council Canada
Publisher
MDPI AG
Subject
General Earth and Planetary Sciences
Link
https://www.mdpi.com/2072-4292/15/5/1218/pdf
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3. Kim, I.H., Jeon, H., Baek, S.C., Hong, W.H., and Jung, H.J. (2018). Application of Crack Identification Techniques for an Aging Concrete Bridge Inspection Using an Unmanned Aerial Vehicle. Sensors, 18.
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