Deep learning for post‐hurricane aerial damage assessment of buildings
Published 2021 View Full Article
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Title
Deep learning for post‐hurricane aerial damage assessment of buildings
Authors
Keywords
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Journal
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2021-02-04
DOI
10.1111/mice.12658
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- An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics
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- The Pascal Visual Object Classes (VOC) Challenge
- (2009) Mark Everingham et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
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- (2008) Dakshina G. De Silva et al. NATURAL HAZARDS
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