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

24 Apr 2018Sergey ZakharovBenjamin PlancheZiyan WuAndreas HutterHarald KoschSlobodan Ilic

With the increasing availability of large databases of 3D CAD models, depth-based recognition methods 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... (read more)

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