Semi-Supervised Framework for Rail Track Surface Damage Detection : Rail track surface damage detected by RTDS-Net
Author:
Affiliation:
1. China Railway Beijing Group Co., Ltd.,Beijing,China
2. CASCO Signal Ltd,Railway System Department,Beijing,China
3. China Telecommunications Terminal Laboratory China Academy of Information and Communications Technology,Beijing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10270813/10271092/10271217.pdf?arnumber=10271217
Reference17 articles.
1. A Hierarchical Extractor-Based Visual Rail Surface Inspection System
2. Surface Defect Saliency of Magnetic Tile
3. Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
4. FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence;sohn;Advances in neural information processing systems,2020
5. SCueU-Net: Efficient Damage Detection Method for Railway Rail
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