AUTOMATIC SURFACE DAMAGE CLASSIFICATION DEVELOPED BASED ON DEEP LEARNING FOR WOODEN ARCHITECTURAL HERITAGE

6 citations as recorded by crossref.

1. Comparison and Interpretability Analysis of Deep Learning Models for Classifying the Manufacturing Process of Pigments Used in Cultural Heritage Conservation I. Go et al. 10.3390/app15073476
2. Historic Built Environment Assessment and Management by Deep Learning Techniques: A Scoping Review V. Giannuzzi & F. Fatiguso 10.3390/app14167116
3. An Analysis of Research Trends for Using Artificial Intelligence in Cultural Heritage F. Gîrbacia 10.3390/electronics13183738
4. A Computer Vision and Point Cloud-Based Monitoring Approach for Automated Construction Tasks Using Full-Scale Robotized Mobile Cranes X. Pan et al. 10.26599/JIC.2025.9180086
5. A review of recent advances in data-driven computer vision methods for structural damage evaluation: algorithms, applications, challenges, and future opportunities X. Pan et al. 10.1007/s11831-025-10279-8
6. Investigating and Identifying the Surface Damage of Traditional Ancient Town Residence Roofs in Western Zhejiang Based on YOLOv8 Technology S. Yang et al. 10.3390/coatings15020205