YOLO v3-based Concrete Wall Damage Detection with Single Class Classification-Reference-Cited by-同舟云学术

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YOLO v3-based Concrete Wall Damage Detection with Single Class Classification

Published:2023-08-17 Issue: Volume: Page:
ISSN:
Container-title:2023 9th International Conference on Smart Computing and Communications (ICSCC)
language:
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Author:

Philip Remya Elizabeth¹,Diana Andrushia A¹,Mathews Mervin Ealiyas²,Anand N³

Affiliation:

1. Karunya Institute of Technology and Sciences,Department of Electronics and Communication Engineering,Coimbatore,India

2. L&T EduTech Larsen & Toubro Limited,Chennai,India

3. Karunya Institute of Technology and Sciences,Department of Civil Engineering,Coimbatore,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10334953/10334932/10334995.pdf?arnumber=10334995

Reference14 articles.

1. Analysis of Edge-Detection Techniques for Crack Identification in Bridges

2. A comparative review of image processing based crack detection techniques on civil engineering structures;Zawad;J. Soft Comput. Civ. Eng.,2021

3. A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure

4. Asphalt surfaced pavement cracks detection based on histograms of oriented gradients

5. A method based on machine learning using hand-crafted features for crack detection from asphalt pavement surface images

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An improved YOLOv8 for fiber bundle segmentation in X-ray computed tomography images of 2.5D composites to build the finite element model;Composites Part A: Applied Science and Manufacturing;2024-10

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