Contrastive self-supervised representation learning framework for metal surface defect detection

Mahe Zabin; Anika Nahian Binte Kabir; Muhammad Khubayeeb Kabir; Ho‐Jin Choi; Jia Uddin

doi:10.1186/s40537-023-00827-z

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Contrastive self-supervised representation learning framework for metal surface defect detection

Mahe Zabin Anika Nahian Binte Kabir Muhammad Khubayeeb Kabir Ho‐Jin Choi Jia Uddin

Year: 2023 Journal: Journal Of Big Data Vol: 10 (1) Publisher: Springer Science+Business Media

DOI: 10.1186/s40537-023-00827-z

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Keywords:

Computer science Benchmark (surveying) Artificial intelligence Machine learning Pipeline (software) Representation (politics) Encoder Obstacle Quality (philosophy) Feature learning Pattern recognition (psychology) Data mining

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Industrial Vision Systems and Defect Detection

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Non-Destructive Testing Techniques

Physical Sciences → Engineering → Mechanical Engineering

Infrastructure Maintenance and Monitoring

Physical Sciences → Engineering → Civil and Structural Engineering

Contrastive self-supervised representation learning framework for metal surface defect detection

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