MSCNet: A Framework With a Texture Enhancement Mechanism and Feature Aggregation for Crack Detection
Author:
Affiliation:
1. Department of Mechanical Engineering, College of Field Engineering, Army Engineering University of PLA, Nanjing, China
Funder
National Natural Science Foundation of China
Key Research and Development Program of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09729788.pdf?arnumber=9729788
Reference45 articles.
1. Capsules for object segmentation;lalonde;arXiv 1804 04241,2018
2. Monocular 3D object detection and box fitting trained end-to-end using intersection-over-union loss;jörgensen;arXiv 1906 08070,2019
3. Lightweight pixel-wise segmentation for efficient concrete crack detection using hierarchical convolutional neural network
4. Bridge Crack Detection Based on SSENets
5. DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection
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