Region- and Strength-Controllable GAN for Defect Generation and Segmentation in Industrial Images-Reference-Cited by-同舟云学术

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Region- and Strength-Controllable GAN for Defect Generation and Segmentation in Industrial Images

Published:2021 Issue: Volume: Page:1-1
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Niu Shuanlong,Li Bin,Wang Xinggang,Peng Yaru

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/ielx7/9424/4389054/09612006.pdf?arnumber=9612006

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4. Self-supervised assisted multi-task learning network for one-shot defect segmentation with fake defect generation;Pattern Recognition Letters;2024-08

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