1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2025
synth-dacl: Does Synthetic Defect Data Enhance Segmentation Accuracy and Robustness for Real-World Bridge Inspections?
Johannes Flotzinger, Fabian Deuser, Achref Jaziri +4
Adequate bridge inspection is increasingly challenging in many countries due to growing ailing stocks, compounded with a lack of staff and financial resources. Automating the key t…
cs.CV2022★ 1 cited
Building Inspection Toolkit: Unified Evaluation and Strong Baselines for Damage Recognition
Johannes Flotzinger, Philipp J. Rösch, Norbert Oswald +1
In recent years, several companies and researchers have started to tackle the problem of damage recognition within the scope of automated inspection of built structures. While comp…