| Title |
Enhancing Work Trade Image Classification Performance Using a Work Dependency Graph |
| Authors |
Jeong, Sangwon ; Jeong, Kichang |
| DOI |
https://dx.doi.org/10.6106/KJCEM.2021.22.1.106 |
| Keywords |
Image Classification; Deep Learning; Progress Monitoring; Construction Management; Dependency Graph |
| 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. |