Custom Cutout Data Augmentation in PyTorch
Published:
- Implementation of Cutout data regularization/augmentation for convolutional neural networks in PyTorch.
- Provides modular and flexible cutout masks to improve model generalization and robustness against occlusion.
- Developed during PhD studies to enhance data variety for pipeline inspection datasets.