Deep Exemplar 2D-3D Detection by Adapting from Real to Rendered Views

CVPR 2016 Francisco MassaBryan RussellMathieu Aubry

This paper presents an end-to-end convolutional neural network (CNN) for 2D-3D exemplar detection. We demonstrate that the ability to adapt the features of natural images to better align with those of CAD rendered views is critical to the success of our technique... (read more)

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