A FEM-based synthetic data pipeline can train a Mask R-CNN to detect cracks in steel plate thermograms, but real-world transfer is only qualitatively demonstrated.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2024 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Autonomous Crack Detection using Deep Learning on Synthetic Thermogram Datasets
A FEM-based synthetic data pipeline can train a Mask R-CNN to detect cracks in steel plate thermograms, but real-world transfer is only qualitatively demonstrated.