Keep it Unreal: Bridging the Realism Gap for 2.5D Recognition with Geometry Priors Only

3DV, pp. 1-11, 2018.

Cited by: 8|Views15
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Abstract:

With the increasing availability of large databases of 3D CAD models, methods for depth-based recognition of localized objects can be trained on an uncountable number of synthetically rendered images. However, discrepancies with the real data acquired from various depth sensors still noticeably impede progress. Previous works adopted unsu...More

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