Image Recognition of Concrete Electromagnetic Flaw Detection Based on Improved YOLOv7-Reference-Cited by-同舟云学术

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Image Recognition of Concrete Electromagnetic Flaw Detection Based on Improved YOLOv7

Published:2024-01-19 Issue: Volume:35 Page:153-158
ISSN:
Container-title:Proceedings of the 2024 7th International Conference on Image and Graphics Processing
language:
Short-container-title:

Author:

Yuan Shuai¹^ORCID,Yuan Ze²^ORCID,He Kai¹^ORCID

Affiliation:

1. School of Computer Science and Engineering, Shenyang Jianzhu University, China and Liaoning Province Big Data Management and Analysis Laboratory of Urban Construction; Shenyang Branch of National Special Computer Engineering Technology Research Center, China

2. School of Electrical and Control Engineering, Shenyang Jianzhu University, China

Funder

Liaoning Provincial Science and Technology Department Foundation

Liaoning Province education department Foundation, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3647649.3647675

Reference22 articles.

1. Development of an analytic approach utilizing the extended common midpoint method to estimate asphalt pavement thickness with 3-D ground-penetrating radar

2. Estimating the hotmix asphalt air voids from ground penetrating radar

3. Ultrasound data for laboratory calibration of an analytical model to calculate crack depth on asphalt pavements

4. Laboratory assessment of nine methods for nondestructive evaluation of concrete bridge decks with overlays

5. Crack Unet: Crack Recognition Algorithm Based on Three-Dimensional Ground Penetrating Radar Images

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