Abimbola Ismail Arigbabu

Difficulty-Aware Sample Allocation for Adaptive Data Augmentation in Semantic Segmentation

Data augmentation is a standard component of modern semantic segmentation pipelines, but most augmentation techniques allocate transformations uniformly across training samples or adapt to a single difficulty signal such as loss. This ignores the fact that segmentation difficulty is multi-factorial, since ambiguous pre...