Autonomous damage segmentation and measurement of glazed tiles in historic buildings via deep learning
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Title
Autonomous damage segmentation and measurement of glazed tiles in historic buildings via deep learning
Authors
Keywords
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Journal
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2019-08-05
DOI
10.1111/mice.12488
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- The Pascal Visual Object Classes (VOC) Challenge
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