Permute-MAML: exploring industrial surface defect detection algorithms for few-shot learning
Abstract Computer vision has developed rapidly in recent years, invigorating the area of industrial surface defect detection while also providing it with modern perception capabilities. Few-shot learning has emerged as a result of sample size limitations, with MAML framework being the most widely us...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2023-09-01
|
| Series: | Complex & Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s40747-023-01219-9 |