Research on Self-Learning Flaw Detection in Ultrasonic C-Scan Non-Destructive Testing

Author:

Li Zhipeng1,Shi Yibing1,Li Yanjun1,Zhang Wei1,Qiu Ao1

Affiliation:

1. School of Automation Engineering, University of Electronic Science and Technology of China,Chengdu,China

Funder

China National Offshore Oil Corporation

Publisher

IEEE

Reference21 articles.

1. Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning;grill;Advances in Neural Information Processing Systems Curran Associates Inc,2020

2. Big Self-Supervised Models are Strong Semi-Supervised Learners;chen;Ad-vances in Neural Information Processing Systems Curran Associates Inc,2020

3. An improved automated ultrasonic NDE system by wavelet and neuron networks

4. Exploring Simple Siamese Representation Learning

5. Study on the classification of seawater corrosivity of typical sea areas in China

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