Synthetic to Real Adaptation with Generative Correlation Alignment Networks

19 Jan 2017Xingchao PengKate Saenko

Synthetic images rendered from 3D CAD models are useful for augmenting training data for object recognition algorithms. However, the generated images are non-photorealistic and do not match real image statistics... (read more)

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