About
Contact & Profiles
A5078264821
Research Areas
- Image and Object Detection Techniques
- Industrial Vision Systems and Defect Detection
- Non-Destructive Testing Techniques
With the development of data-driven models, deep learning has been increasingly applied in field defect detection. However, performance models is greatly restricted by costly labeling and sample scarcity. One best approaches to solve data imbalance problem increasing quantity diversity samples. Meanwhile, current based on generative adversarial network (GAN) cannot readily control category shape generated samples, which results inefficient augmentation. Thus, simultaneously achieve...
10.1109/tim.2022.3160542
article
EN
IEEE Transactions on Instrumentation and Measurement
2022-01-01
Coming Soon ...