Syn2Real: A New Benchmark forSynthetic-to-Real Visual Domain Adaptation

26 Jun 2018Xingchao PengBen UsmanKuniaki SaitoNeela KaushikJudy HoffmanKate Saenko

Unsupervised transfer of object recognition models from synthetic to real data is an important problem with many potential applications. The challenge is how to "adapt" a model trained on simulated images so that it performs well on real-world data without any additional supervision... (read more)

PDF Abstract

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.