OFIDA: Object-focused image data augmentation with attention-driven graph convolutional networks.
Image data augmentation plays a crucial role in data augmentation (DA) by increasing the quantity and diversity of labeled training data.However, existing methods have limitations.Notably, techniques like image manipulation, erasing, and mixing can distort images, compromising data quality.Accurate representation of objects without confusion is a c