A New Contrastive GAN With Data Augmentation for Surface Defect Recognition Under Limited Data-Reference-Cited by-同舟云学术

A New Contrastive GAN With Data Augmentation for Surface Defect Recognition Under Limited Data

Published:2023 Issue: Volume:72 Page:1-13
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Du Zongwei¹^ORCID,Gao Liang¹^ORCID,Li Xinyu¹^ORCID

Affiliation:

1. State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/09999697.pdf?arnumber=9999697

Reference42 articles.

1. An empirical study on evaluation metrics of generative adversarial networks;xu;arXiv 1806 07755,2018

2. GAs trained by a two time-scale update rule con\_verge to a local nash equilibrium;heusel;Proc Adv Neural Inf Process Syst (NIPS),2017

3. Sphere Generative Adversarial Network Based on Geometric Moment Matching

4. FaceNet: A unified embedding for face recognition and clustering

5. Differentiable augmentation for data-efficient GAN training;zhao;Proc Adv Neural Inf Process Syst (NIPS),2020

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