A Multi-Scale Defect Detection for Steel Surface Based on Improved Faster R-CNN
Author:
Affiliation:
1. College of Electrical Engineering and Automation, Fuzhou University,Fuzhou,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10450150/10449968/10451783.pdf?arnumber=10451783
Reference22 articles.
1. Sustainable development indicators in the steel industry
2. DCAM-Net: A Rapid Detection Network for Strip Steel Surface Defects Based on Deformable Convolution and Attention Mechanism
3. An Improved Faster R-CNN for Steel Surface Defect Detection
4. Fast R-CNN
5. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
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