most citedA Scaling Law for Synthetic-to-Real Transfer: How Much Is Your Pre-training Effective?

5 citations · 5 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2021★ 5 cited

A Scaling Law for Synthetic-to-Real Transfer: How Much Is Your Pre-training Effective?

Hiroaki Mikami, Kenji Fukumizu, Shogo Murai +5

Synthetic-to-real transfer learning is a framework in which a synthetically generated dataset is used to pre-train a model to improve its performance on real vision tasks. The most…