Encoder–decoder network for pixel‐level road crack detection in black‐box images-Reference-Cited by-同舟云学术

Encoder–decoder network for pixel‐level road crack detection in black‐box images

Published:2019-02-28 Issue:8 Volume:34 Page:713-727
ISSN:1093-9687
Container-title:Computer-Aided Civil and Infrastructure Engineering
language:en
Short-container-title:Computer‐Aided Civil and Infrastructure Engineering

Author:

Bang Seongdeok¹,Park Somin¹,Kim Hongjo¹,Kim Hyoungkwan¹

Affiliation:

1. Department of Civil and Environmental EngineeringYonsei University Seoul Korea

Funder

National Research Foundation of Korea

Ministry of Education

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Graphics and Computer-Aided Design,Computer Science Applications,Civil and Structural Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/mice.12440

Reference64 articles.

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2. Badrinarayanan V. Handa A. &Cipolla R.(2015).SegNet: A deep convolutional encoder‐decoder architecture for robust semantic pixel‐wise labelling. arXiv:1505.07293

3. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

4. Deep Learning-Based Crack Damage Detection Using Convolutional Neural Networks

5. Autonomous Structural Visual Inspection Using Region-Based Deep Learning for Detecting Multiple Damage Types

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