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Recognizing Diverse Construction Activities in Site Images via Relevance Networks of Construction-Related Objects Detected by Convolutional Neural Networks
A semi-supervised learning detection method for vision-based monitoring of construction sites by integrating teacher-student networks and data augmentation
Visual Analytics for Operation-Level Construction Monitoring and Documentation: State-of-the-Art Technologies, Research Challenges, and Future Directions
Enabling High-Level Worker-Centric Semantic Understanding of Onsite Images Using Visual Language Models with Attention Mechanism and Beam Search Strategy
Data Augmentation Using Adversarial Training for Construction-Equipment Classification
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