A Steel Surface Defect Recognition Algorithm Based on Improved Deep Learning Network Model Using Feature Visualization and Quality Evaluation.
Shengqi GuanMing LeiHao LuPublished in: IEEE Access (2020)
Keyphrases
- network model
- recognition algorithm
- quality evaluation
- deep learning
- surface defects
- unsupervised learning
- evaluation model
- machine learning
- human perception
- three dimensional
- neural network
- feature vectors
- quality metrics
- data analysis
- d objects
- mental models
- image features
- high quality
- image processing
- weakly supervised
- human actions
- search engine
- information retrieval