A Diffusion-Based Data Augmentation Framework for Semantic Segmentation with Limited Data
Semantic segmentation relies heavily on large-scale datasets with pixel-level annotations, while dense labeling is costly and difficult to obtain in many practical scenarios. Existing generative data augmentation methods either depend on source segmentation masks, which limits layout diversity, or are insufficient to f...