5 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CV2022
Weakly-Supervised Crack Detection
Yuki Inoue, Hiroto Nagayoshi
Pixel-level crack segmentation is widely studied due to its high impact on building and road inspections. While recent studies have made significant improvements in accuracy, they…
eess.SP2021
Human-error-potential Estimation based on Wearable Biometric Sensors
Hiroki Ohashi, Hiroto Nagayoshi
This study tackles on a new problem of estimating human-error potential on a shop floor on the basis of wearable sensors. Unlike existing studies that utilize biometric sensing tec…
cs.CV2020★ 5 cited
Crack Detection as a Weakly-Supervised Problem: Towards Achieving Less Annotation-Intensive Crack Detectors
Yuki Inoue, Hiroto Nagayoshi
Automatic crack detection is a critical task that has the potential to drastically reduce labor-intensive building and road inspections currently being done manually. Recent studie…