Seeing What Is Not There: Learning Context to Determine Where Objects Are Missing

CVPR 2017 Jin SunDavid W. Jacobs

Most of computer vision focuses on what is in an image. We propose to train a standalone object-centric context representation to perform the opposite task: seeing what is not there... (read more)

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