SPIGAN: Privileged Adversarial Learning from Simulation

international conference on learning representations, 2019.

Cited by: 22|Bibtex|Views33
EI
Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

Deep Learning for Computer Vision depends mainly on the source of supervision.Photo-realistic simulators can generate large-scale automatically labeled syntheticdata, but introduce a domain gap negatively impacting performance. We propose anew unsupervised domain adaptation algorithm, called SPIGAN, relying on Sim-ulator Privileged Inform...More

Code:

Data:

Full Text
Your rating :
0

 

Tags
Comments