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Found 3 papers, 1 papers with code
Weakly-Supervised Crack Detection
Because the proposed approach is data-driven, it is effective regardless of a dataset's pixel brightness profile.
Human-error-potential Estimation based on Wearable Biometric Sensors
This study tackles on a new problem of estimating human-error potential on a shop floor on the basis of wearable sensors.
Crack Detection as a Weakly-Supervised Problem: Towards Achieving Less Annotation-Intensive Crack Detectors
Automatic crack detection is a critical task that has the potential to drastically reduce labor-intensive building and road inspections currently being done manually.
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