Benchmarking Deep Learning Models for Automatic Ultrasonic Imaging Inspection
The success of deep neural networks in carrying out a wide variety of cognitive tasks also raised expectations regarding the advent of AI for the ultrasonic testing (UT) data interpretation in the Non-destructive evaluation (NDE) field. Though it is a growing area of research, we identify two main b...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2021-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9366507/ |