7 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.CV2022
Supervised Anomaly Detection Method Combining Generative Adversarial Networks and Three-Dimensional Data in Vehicle Inspections
Yohei Baba, Takuro Hoshi, Ryosuke Mori +1
The external visual inspections of rolling stock's underfloor equipment are currently being performed via human visual inspection. In this study, we attempt to partly automate visu…
cs.CV2021★ 7 cited
Railway Anomaly detection model using synthetic defect images generated by CycleGAN
Takuro Hoshi, Yohei Baba, Gaurang Gavai
Although training data is essential for machine learning, railway companies are facing difficulties in gathering adequate images of defective equipment due to their proactive repla…