DF-YOLOv7: steel surface defect detection based on focal module and deformable convolution

Weifeng Zhang; Tongyuan Huang; Jia Xu; Qianjiang Yu; Yunze He; Shang‐Hong Lai; Yong Xu

doi:10.1007/s11760-024-03679-z

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DF-YOLOv7: steel surface defect detection based on focal module and deformable convolution

Weifeng Zhang Tongyuan Huang Jia Xu Qianjiang Yu Yunze He Shang‐Hong Lai Yong Xu

Year: 2024 Journal: Signal Image and Video Processing Vol: 19 (2) Publisher: Springer Science+Business Media

DOI: 10.1007/s11760-024-03679-z

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Keywords:

Convolution (computer science) Process (computing) Computer science Quality (philosophy) Product (mathematics) Sample (material) Surface (topology) Detector Variety (cybernetics) Algorithm Artificial intelligence Pattern recognition (psychology) Mathematics Physics Geometry

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Industrial Vision Systems and Defect Detection

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Infrastructure Maintenance and Monitoring

Physical Sciences → Engineering → Civil and Structural Engineering

DF-YOLOv7: steel surface defect detection based on focal module and deformable convolution

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