Grid-Shift: An Image Preprocessing Approach to Reduce Overfitting in AI Training

Kevin Kocon, Michel Krämer, Lina Emilie Budde. Grid-Shift: An Image Preprocessing Approach to Reduce Overfitting in AI Training. In 10th International Conference on Frontiers of Signal Processing, ICFSP 2025, Paris, France, September 10-12, 2025. pages 109-114, IEEE, 2025. [doi]

@inproceedings{KoconKB25,
  title = {Grid-Shift: An Image Preprocessing Approach to Reduce Overfitting in AI Training},
  author = {Kevin Kocon and Michel Krämer and Lina Emilie Budde},
  year = {2025},
  doi = {10.1109/ICFSP67350.2025.11353536},
  url = {https://doi.org/10.1109/ICFSP67350.2025.11353536},
  researchr = {https://researchr.org/publication/KoconKB25},
  cites = {0},
  citedby = {0},
  pages = {109-114},
  booktitle = {10th International Conference on Frontiers of Signal Processing, ICFSP 2025, Paris, France, September 10-12, 2025},
  publisher = {IEEE},
  isbn = {979-8-3315-7442-0},
}