Fine-Tuning Vision Transformer (ViT) to Classify Highway Construction Workers’ Activities-Reference-Cited by-同舟云学术

Fine-Tuning Vision Transformer (ViT) to Classify Highway Construction Workers’ Activities

Published:2024-03-18 Issue: Volume:51 Page:1140-1148
ISSN:
Container-title:Construction Research Congress 2024
language:
Short-container-title:

Author:

Tian Chi¹²³²,Chen Yunfeng¹²³²,Feng Yiheng¹²³²,Zhang Jiansong¹²³²

Affiliation:

1. Ph.D. Candidate, School of Construction Management Technology, Purdue Univ., West Lafayette, IN.

2. Associate Professor, School of Construction Management Technology, Purdue Univ., West Lafayette, IN.

3. Assistant Professor, Lyles School of Civil Engineering, Purdue Univ., West Lafayette, IN.

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784485262.116

Reference34 articles.

1. MEANS: A medical question-answering system combining NLP techniques and semantic Web technologies;Abacha A. B.;Information processing and management,2015

2. Anwar, T., and Zakir, S. (2020, November). Deep learning based diagnosis of COVID-19 using chest CT-scan images. In 2020 IEEE 23rd international multitopic conference (INMIC) (pp. 1–5). IEEE.

3. Vision transformer-based autonomous crack detection on asphalt and concrete surfaces;Asadi Shamsabadi E.;Automation in Construction,2022

4. Bao J. Hu X. Jiang Y. and Li S. (2020). A Convolutional Neural Network Model for Identifying Unclassified and Misclassified Vehicles Using Spatial Pyramid Pooling. Construction Research Congress 2022.

5. Smart construction scheduling monitoring using YOLOv3-based activity detection and classification

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Integrating Domain Knowledge with Deep Learning Model for Automated Worker Activity Classification in mobile work zone;Journal of Information Technology in Construction;2024-04-18