Wood Crack Detection Based on Data-Driven Semantic Segmentation Network
Author:
Affiliation:
1. College of Electrical Engineering and Automation, Fuzhou University,Fuzhou,China,350108
2. School of Electrical Engineering, Yanshan University,Qinhuangdao,China,066004
Funder
National Key Research and Development Program of China
Key Laboratory of System Control and Information Processing, Ministry of Education, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Artificial Intelligence,Information Systems,Control and Systems Engineering,Control and Optimization
Link
http://xplorestaging.ieee.org/ielx7/6570654/10141540/10141544.pdf?arnumber=10141544
Reference16 articles.
1. Pyramid Scene Parsing Network
2. A new mobile convolutional neural network-based approach for pixel-wise road surface crack detection
3. DeepCrack: A deep hierarchical feature learning architecture for crack segmentation
4. Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
5. FISS GAN: A Generative Adversarial Network for Foggy Image Semantic Segmentation
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