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Surface Defect Detection of Aluminum Material Based on HRNet Feature Extraction

Authors:

Beini Jia,

Xin Luo,

Ran Tao,

Youqun ShiAuthors Info & Claims

DSIT 2021: 2021 4th International Conference on Data Science and Information Technology

Pages 44 - 48

https://doi.org/10.1145/3478905.3478914

Published: 28 September 2021 Publication History

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Cited By

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Zhang CKarim MQin R(2023)A Multitask Deep Learning Model for Parsing Bridge Elements and Segmenting Defect in Bridge Inspection ImagesTransportation Research Record: Journal of the Transportation Research Board10.1177/036119812311554182677:7(693-704)Online publication date: 28-Feb-2023
https://doi.org/10.1177/03611981231155418

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DSIT 2021: 2021 4th International Conference on Data Science and Information Technology

July 2021

481 pages

ISBN:9781450390248

DOI:10.1145/3478905

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 28 September 2021

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DSIT 2021: 2021 4th International Conference on Data Science and Information Technology

July 23 - 25, 2021

Shanghai, China

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Zhang CKarim MQin R(2023)A Multitask Deep Learning Model for Parsing Bridge Elements and Segmenting Defect in Bridge Inspection ImagesTransportation Research Record: Journal of the Transportation Research Board10.1177/036119812311554182677:7(693-704)Online publication date: 28-Feb-2023
https://doi.org/10.1177/03611981231155418

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Multi-dimensional feature extraction-based deep encoder–decoder network for automatic surface defect detection

Fabric Defect Detection Based on Projected Transform for Feature Extraction

Gold-Catalyzed growth of aluminium-doped zinc oxide nanorods by sputtering method

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