Learning from Synthetic Data via Provenance-Based Input Gradient Guidance

Koshiro Nagano, Ryo Fujii, Ryo Hachiuma +3

Learning methods using synthetic data have attracted attention as an effective approach for increasing the diversity of training data while reducing collection costs, thereby impro…