A semi-supervised self-training method to develop assistive intelligence for segmenting multiclass bridge elements from inspection videos
| Auteur(s): |
Muhammad Monjurul Karim
(Department of Civil Engineering, Stony Brook University, Stony Brook, NY, USA)
Ruwen Qin 
(Department of Civil Engineering, Stony Brook University, Stony Brook, NY, USA)
Genda Chen
(Department of Civil, Environmental and Architectural Engineering, Missouri University of Science and Technology, Rolla, MO, USA)
Zhaozheng Yin (Department of Biomedical Informatics, Department of Computer Science, AI Institute, Stony Brook University, Stony Brook, NY, USA) |
|---|---|
| Médium: | article de revue |
| Langue(s): | anglais |
| Publié dans: | Structural Health Monitoring, août 2021, n. 3, v. 21 |
| Page(s): | 147592172110104 |
| DOI: | 10.1177/14759217211010422 |
- Informations
sur cette fiche - Reference-ID
10609117 - Publié(e) le:
22.05.2021 - Modifié(e) le:
09.05.2022
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