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

Conference object, Preprint English OPEN
Massa , Francisco; Russell , Bryan; Aubry , Mathieu;
(2016)
  • Publisher: IEEE
  • Related identifiers: doi: 10.1109/CVPR.2016.648
  • Subject: [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV] | Computer Science - Computer Vision and Pattern Recognition | [ INFO.INFO-LG ] Computer Science [cs]/Machine Learning [cs.LG] | [ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV] | [ INFO.INFO-NE ] Computer Science [cs]/Neural and Evolutionary Computing [cs.NE] | Computer Science - Neural and Evolutionary Computing | Computer Science - Learning
    acm: ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION

International audience; 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... View more
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