Search Results for author:
Found 2 papers, 1 papers with code
Syn2Real: A New Benchmark forSynthetic-to-Real Visual Domain Adaptation
In this paper, we present a new large-scale benchmark called Syn2Real, which consists of a synthetic domain rendered from 3D object models and two real-image domains containing the same object categories.
VisDA: The Visual Domain Adaptation Challenge
We present the 2017 Visual Domain Adaptation (VisDA) dataset and challenge, a large-scale testbed for unsupervised domain adaptation across visual domains.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
