Semantic segmentation supervised deep-learning algorithm for welding-defect detection of new energy batteries.
Yatao YangYuqing HeHaolin GuoZiliang ChenLi ZhangPublished in: Neural Comput. Appl. (2022)
Keyphrases
- defect detection
- semantic segmentation
- learning algorithm
- label transfer
- supervised methods
- street scenes
- weakly supervised
- conditional random fields
- superpixels
- supervised learning
- active learning
- scene classification
- training data
- object class
- object categories
- pascal voc
- feature extraction
- machine learning
- training examples
- object detection
- object classes
- topic models
- image set
- labeled data
- semi supervised
- multiscale
- named entities
- relation extraction
- active contours
- markov random field