Abstract: Artificial images for defect detection have gained growing importance in the recently developed defect detection architectures. This systematic literature review examines the use of ...

Abstract: It is not uncommon that real-world data are distributed with a long tail. For such data, the learning of deep neural networks becomes challenging because it is hard to classify tail classes ...