DbCrackNet: Dual-branch network for crack segmentation
Author:
Affiliation:
1. Beijing Institute of Technology,School of Automation,Beijing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10054511/10054645/10054869.pdf?arnumber=10054869
Reference24 articles.
1. Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection
2. Pyramid Scene Parsing Network[J];zhao;IEEE Computer Society,2016
3. Hybrid pixel-level concrete crack segmentation and quantification across complex backgrounds using deep learning
4. ARF-Crack: rotation invariant deep fully convolutional network for pixel-level crack detection
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1. CrackYOLO: Rural Pavement Distress Detection Model with Complex Scenarios;Electronics;2024-01-10
2. A dynamic semantic segmentation algorithm with encoder-crossor-decoder structure for pixel-level building cracks;Measurement Science and Technology;2023-11-29
3. Crack Detection Based on Semi-Supervised Semantic Segmentation;2023 China Automation Congress (CAC);2023-11-17
4. DANF: Dual-Flow Aggregation Network for Curtain Wall Frame Real-Time Segmentation;2023 China Automation Congress (CAC);2023-11-17
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