Showing cs.CVShow all
3 papers · 1 filter
cs.CV2026
PQTNet: Pixel-wise Quantitative Thermography Neural Network for Estimating Defect Depth in Polylactic Acid Parts by Additive Manufacturing
Lei Deng, Wenhao Huang, Chao Yang +3
Defect depth quantification in additively manufactured (AM) components remains a significant challenge for non-destructive testing (NDT). This study proposes a Pixel-wise Quantitat…
cs.CV2026
Thermo-LIO: A Novel Multi-Sensor Integrated System for Structural Health Monitoring
Chao Yang, Haoyuan Zheng, Yue Ma
Traditional two-dimensional thermography, despite being non-invasive and useful for defect detection in the construction field, is limited in effectively assessing complex geometri…
cs.CV2026
Application Research of a Deep Learning Model Integrating CycleGAN and YOLO in PCB Infrared Defect Detection
Chao Yang, Haoyuan Zheng, Yue Ma
This paper addresses the critical bottleneck of infrared (IR) data scarcity in Printed Circuit Board (PCB) defect detection by proposing a cross-modal data augmentation framework i…