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Beyond the Line of Sight: Labeling the Underlying Surfaces

2020-04-02 | |  52 |   37 |   0

Abstract

Scene understanding requires reasoning about both what we can see and what is occluded. We offer a simple and general approach to infer labels of occluded background regions. Our approach incorpo- rates estimates of visible surrounding background, detected ob jects, and shape priors from transferred training regions. We demonstrate the abil- ity to infer the labels of occluded background regions in both the out- door StreetScenes dataset and an indoor scene dataset using the same approach. Our experiments show that our method outperforms competent baselines.

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