Basic-Class and Cross-Class Hybrid Feature Learning for Class-imbalanced Weld Defect Recognition-Reference-Cited by-同舟云学术

Basic-Class and Cross-Class Hybrid Feature Learning for Class-imbalanced Weld Defect Recognition

Published:2022 Issue: Volume: Page:1-11
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Liu Xiaoyuan¹^ORCID,Liu Jinhai²^ORCID,Wang Zi³^ORCID,Wang Lei¹^ORCID,Zhang Huaguang¹^ORCID

Affiliation:

1. Collage of Information Science and Engineering, Northeastern University, Shenyang, China

2. State Key Laboratory of Synthetical Automation for Process Industries, and the Collage of Information Science and Engineering, Northeastern University, Shenyang, China

3. PipeChina West East Gas Pipeline Company, Shanghai, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9424/4389054/09982419.pdf?arnumber=9982419

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