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http://dx.doi.org/10.6106/KJCEM.2021.22.1.106

Enhancing Work Trade Image Classification Performance Using a Work Dependency Graph  

Jeong, Sangwon (Korea Institute of Industry Convergence)
Jeong, Kichang (Korea Institute of Industry Convergence)
Publication Information
Korean Journal of Construction Engineering and Management / v.22, no.1, 2021 , pp. 106-115 More about this Journal
Abstract
Classifying work trades using images can serve an important role in a multitude of advanced applications in construction management and automated progress monitoring. However, images obtained from work sites may not always be clean. Defective images can damage an image classifier's accuracy which gives rise to a needs for a method to enhance a work trade image classifier's performance. We propose a method that uses work dependency information to aid image classifiers. We show that using work dependency can enhance the classifier's performance, especially when a base classifier is not so great in doing its job.
Keywords
Image Classification; Deep Learning; Progress Monitoring; Construction Management; Dependency Graph;
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