Efficient attention-based deep encoder and decoder for automatic crack segmentation

Article Properties

Language

English
DOI (url)

10.1177/14759217211053776
Publication Date

2021/12/19
Journal

Structural Health Monitoring
Indian UGC (journal)
Refrences

61
Citations

116
Dong H Kang University of Manitoba, Winnipeg, MB, Canada
Young-Jin Cha University of Manitoba, Winnipeg, MB, Canada ORCID (unauthenticated)

Abstract

Cite

Kang, Dong H, and Young-Jin Cha. “Efficient Attention-Based Deep Encoder and Decoder for Automatic Crack Segmentation”. Structural Health Monitoring, vol. 21, no. 5, 2021, pp. 2190-05, https://doi.org/10.1177/14759217211053776.

Kang, D. H., & Cha, Y.-J. (2021). Efficient attention-based deep encoder and decoder for automatic crack segmentation. Structural Health Monitoring, 21(5), 2190-2205. https://doi.org/10.1177/14759217211053776

Kang, Dong H, and Young-Jin Cha. “Efficient Attention-Based Deep Encoder and Decoder for Automatic Crack Segmentation”. Structural Health Monitoring 21, no. 5 (2021): 2190-2205. https://doi.org/10.1177/14759217211053776.

Kang DH, Cha YJ. Efficient attention-based deep encoder and decoder for automatic crack segmentation. Structural Health Monitoring. 2021;21(5):2190-205.

Journal Categories

Science

Mathematics

Instruments and machines

Technology

Engineering (General)

Civil engineering (General)

Refrences

Title	Journal	Journal Categories	Citations	Publication Date
Title				2014
Title				2019
Title				2018
Title				2018
Title				2018

Citations

Title	Journal	Journal Categories	Citations	Publication Date
Back analysis of shear strength parameters of slope based on BP neural network and genetic algorithm	Engineering Reports	Technology: Engineering (General). Civil engineering (General) Science: Mathematics: Instruments and machines: Electronic computers. Computer science Science: Mathematics: Instruments and machines: Electronic computers. Computer science Technology: Engineering (General). Civil engineering (General) Science: Chemistry		2024
Automated crack detection and mapping of bridge decks using deep learning and drones	Journal of Civil Structural Health Monitoring	Technology: Engineering (General). Civil engineering (General) Technology: Engineering (General). Civil engineering (General) Technology: Engineering (General). Civil engineering (General)		2024
Intelligent segmentation method for blurred cracks and 3D mapping of width nephograms in concrete dams using UAV photogrammetry	Automation in Construction	Technology: Building construction: Architectural engineering. Structural engineering of buildings Technology: Engineering (General). Civil engineering (General) Technology: Engineering (General). Civil engineering (General) Technology: Engineering (General). Civil engineering (General)	2	2024
Efficient semi-supervised surface crack segmentation with small datasets based on consistency regularisation and pseudo-labelling	Automation in Construction	Technology: Building construction: Architectural engineering. Structural engineering of buildings Technology: Engineering (General). Civil engineering (General) Technology: Engineering (General). Civil engineering (General) Technology: Engineering (General). Civil engineering (General)		2024
An average pooling designed Transformer for robust crack segmentation	Automation in Construction	Technology: Building construction: Architectural engineering. Structural engineering of buildings Technology: Engineering (General). Civil engineering (General) Technology: Engineering (General). Civil engineering (General) Technology: Engineering (General). Civil engineering (General)		2024

Citations Analysis

Category	Category Repetition
Technology: Engineering (General). Civil engineering (General)	71
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks	33
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics	25
Technology: Building construction: Architectural engineering. Structural engineering of buildings	25
Science: Mathematics: Instruments and machines	24
Science: Mathematics: Instruments and machines: Electronic computers. Computer science	21
Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials	12
Science: Science (General): Cybernetics: Information theory	12
Technology: Mechanical engineering and machinery	12
Technology: Engineering (General). Civil engineering (General): Transportation engineering	12
Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication	10
Science: Chemistry	9
Technology: Electrical engineering. Electronics. Nuclear engineering	9
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software	7
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware	5
Medicine: Medicine (General): Medical technology	4
Technology: Chemical technology	4
Science: Physics	3
Technology: Technology (General): Industrial engineering. Management engineering	3
Technology: Manufactures: Production management. Operations management	3
Technology: Photography	3
Technology: Chemical technology: Biotechnology	3
Science: Chemistry: Analytical chemistry	2
Science	2
Science: Science (General)	2
Technology: Environmental technology. Sanitary engineering	2
Medicine: Medicine (General): Computer applications to medicine. Medical informatics	1
Science: Biology (General)	1
Science: Chemistry: General. Including alchemy	1
Technology: Building construction	1
Technology: Technology (General): Industrial engineering. Management engineering: Information technology	1
Medicine	1
Technology	1
Social Sciences: Industries. Land use. Labor: Special industries and trades: Energy industries. Energy policy. Fuel trade	1
Technology: Electrical engineering. Electronics. Nuclear engineering: Distribution or transmission of electric power	1
Technology: Electrical engineering. Electronics. Nuclear engineering: Production of electric energy or power. Powerplants. Central stations	1
Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods	1
Science: Physics: Meteorology. Climatology	1
Science: Geology	1
Fine Arts: Architecture	1
Science: Physics: Optics. Light	1
Technology: Engineering (General). Civil engineering (General): Applied optics. Photonics	1
Science: Physics: Acoustics. Sound	1
Medicine: Dentistry	1
Medicine: Medicine (General)	1
Science: Biology (General): Ecology	1
Technology: Hydraulic engineering: River, lake, and water-supply engineering (General)	1
Social Sciences: Transportation and communications	1
Geography. Anthropology. Recreation: Mathematical geography. Cartography	1
Geography. Anthropology. Recreation	1
Geography. Anthropology. Recreation: Geography (General)	1
Agriculture: Agriculture (General)	1
Technology: Hydraulic engineering	1
Technology: Engineering (General). Civil engineering (General): Structural engineering (General)	1

The category Technology: Engineering (General). Civil engineering (General) 71 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Identification of Corroded Cracks in Reinforced Concrete Based on Deep Learning SCNet Model and was published in 2022. The most recent citation comes from a 2024 study titled Unified weakly and semi-supervised crack segmentation framework using limited coarse labels. This article reached its peak citation in 2023, with 68 citations. It has been cited in 58 different journals, 31% of which are open access. Among related journals, the Automation in Construction cited this research the most, with 9 citations. The chart below illustrates the annual citation trends for this article.