Contrastive self-supervised representation learning framework for metal surface defect detection.
Mahe ZabinAnika Nahian Binte KabirMuhammad Khubayeeb KabirHo-Jin ChoiJia UddinPublished in: J. Big Data (2023)
Keyphrases
- defect detection
- learning scheme
- main contribution
- learning algorithm
- learning process
- distributed learning
- learning mechanism
- theoretical framework
- learning systems
- knowledge acquisition
- prior knowledge
- supervised learning
- three dimensional
- dynamic bayesian networks
- representation scheme
- inference process
- perceptual information
- representation language
- design principles
- range data
- multi view
- reinforcement learning